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Publications of David B. Dunson    :chronological  alphabetical  by type  bibtex listing:

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  1. Huang, J; Morsomme, R; Dunson, D; Xu, J, Detecting changes in the transmission rate of a stochastic epidemic model., Statistics in medicine (February, 2024) [doi]  [abs]
  2. Melikechi, O; Dunson, DB, Ellipsoid fitting with the Cayley transform., IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol. 72 (January, 2024), pp. 70-83 [doi]  [abs]
  3. Datta, J; Banerjee, S; Dunson, DB, Nonparametric Bayes multiresolution testing for high-dimensional rare events, Journal of Nonparametric Statistics (January, 2024) [doi]  [abs]
  4. Buch, DA; Johndrow, JE; Dunson, DB, Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model., Biometrics, vol. 79 no. 4 (December, 2023), pp. 2987-2997 [doi]  [abs]
  5. Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernel-based optimization scheme for analyzing non-stationary 1D signals, Applied and Computational Harmonic Analysis, vol. 66 (September, 2023), pp. 1-17 [doi]  [abs]
  6. Rigon, T; Herring, AH; Dunson, DB, A generalized Bayes framework for probabilistic clustering, Biometrika, vol. 110 no. 3 (September, 2023), pp. 559-578 [doi]  [abs]
  7. Liu, R; Li, M; Dunson, DB, PPA: Principal parcellation analysis for brain connectomes and multiple traits., NeuroImage, vol. 276 (August, 2023), pp. 120214 [doi]  [abs]
  8. Talbot, A; Dunson, D; Dzirasa, K; Carlson, D, Estimating a brain network predictive of stress and genotype with supervised autoencoders., J R Stat Soc Ser C Appl Stat, vol. 72 no. 4 (August, 2023), pp. 912-936 [doi]  [abs]
  9. Jin, B; Dunson, DB; Rager, JE; Reif, DM; Engel, SM; Herring, AH, Bayesian matrix completion for hypothesis testing., Journal of the Royal Statistical Society. Series C, Applied statistics, vol. 72 no. 2 (May, 2023), pp. 254-270 [doi]  [abs]
  10. Mahzarnia, A; Stout, JA; Anderson, RJ; Moon, HS; Yar Han, Z; Beck, K; Browndyke, JN; Dunson, DB; Johnson, KG; O'Brien, RJ; Badea, A, Identifying vulnerable brain networks associated with Alzheimer's disease risk., Cereb Cortex, vol. 33 no. 9 (April, 2023), pp. 5307-5322 [doi]  [abs]
  11. Gu, Y; Dunson, DB, Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 85 no. 2 (April, 2023), pp. 399-426 [doi]  [abs]
  12. Zito, A; Rigon, T; Dunson, DB, Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa, Methods in Ecology and Evolution, vol. 14 no. 2 (February, 2023), pp. 529-542 [doi]  [abs]
  13. Zito, A; Rigon, T; Ovaskainen, O; Dunson, DB, Bayesian Modeling of Sequential Discoveries., Journal of the American Statistical Association, vol. 118 no. 544 (January, 2023), pp. 2521-2532 [doi]  [abs]
  14. Papadogeorgou, G; Bello, C; Ovaskainen, O; Dunson, DB, Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions, Journal of the American Statistical Association, vol. 118 no. 544 (January, 2023), pp. 2250-2261 [doi]  [abs]
  15. Barrientos, AF; Sen, D; Page, GL; Dunson, DB, Bayesian Inferences on Uncertain Ranks and Orderings: Application to Ranking Players and Lineups, Bayesian Analysis, vol. 18 no. 3 (January, 2023), pp. 777-806 [doi]  [abs]
  16. Sachs, M; Sen, D; Lu, J; Dunson, D, Posterior Computation with the Gibbs Zig-Zag Sampler, Bayesian Analysis, vol. 18 no. 3 (January, 2023), pp. 909-927 [doi]  [abs]
  17. Li, D; Nguyen, P; Zhang, Z; Dunson, D, Tree representations of brain structural connectivity via persistent homology., Frontiers in neuroscience, vol. 17 (January, 2023), pp. 1200373 [doi]  [abs]
  18. Chakraborty, A; Ou, R; Dunson, DB, Bayesian Inference on High-Dimensional Multivariate Binary Responses, Journal of the American Statistical Association (January, 2023) [doi]  [abs]
  19. Young, AL; van den Boom, W; Schroeder, RA; Krishnamoorthy, V; Raghunathan, K; Wu, H-T; Dunson, DB, Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data., PLoS One, vol. 18 no. 4 (2023), pp. e0284904 [doi]  [abs]
  20. Legramanti, S; Rigon, T; Durante, D; Dunson, DB, EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKS., The annals of applied statistics, vol. 16 no. 4 (December, 2022), pp. 2369-2395 [doi]  [abs]
  21. Chakraborty, A; Ovaskainen, O; Dunson, DB, BAYESIAN SEMIPARAMETRIC LONG MEMORY MODELS FOR DISCRETIZED EVENT DATA., The annals of applied statistics, vol. 16 no. 3 (September, 2022), pp. 1380-1399 [doi]  [abs]
  22. Melikechi, O; Young, AL; Tang, T; Bowman, T; Dunson, D; Johndrow, J, Limits of epidemic prediction using SIR models., Journal of mathematical biology, vol. 85 no. 4 (September, 2022), pp. 36 [doi]  [abs]
  23. Schiavon, L; Canale, A; Dunson, DB, Generalized infinite factorization models., Biometrika, vol. 109 no. 3 (September, 2022), pp. 817-835 [doi]  [abs]
  24. Dey, P; Zhang, Z; Dunson, DB, Outlier detection for multi-network data., Bioinformatics (Oxford, England), vol. 38 no. 16 (August, 2022), pp. 4011-4018 [doi]  [abs]
  25. Guha, S; Jung, R; Dunson, D, Predicting phenotypes from brain connection structure, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 71 no. 3 (June, 2022), pp. 639-668 [doi]  [abs]
  26. Aliverti, E; Dunson, DB, COMPOSITE MIXTURE OF LOG-LINEAR MODELS WITH APPLICATION TO PSYCHIATRIC STUDIES., The annals of applied statistics, vol. 16 no. 2 (June, 2022), pp. 765-790 [doi]  [abs]
  27. Dunson, DB; Wu, HT; Wu, N, Graph based Gaussian processes on restricted domains, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 84 no. 2 (April, 2022), pp. 414-439 [doi]  [abs]
  28. Lum, K; Dunson, DB; Johndrow, J, Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment, Journal of the Royal Statistical Society. Series A: Statistics in Society, vol. 185 no. 2 (April, 2022), pp. 588-614 [doi]  [abs]
  29. Van Den Boom, W; Reeves, G; Dunson, DB, Erratum: Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation (Biometrika (2021) 108 (269-282) DOI: 10.1093/biomet/asaa068), Biometrika, vol. 109 no. 1 (March, 2022), pp. 275 [doi]  [abs]
  30. Russo, M; Singer, BH; Dunson, DB, MULTIVARIATE MIXED MEMBERSHIP MODELING: INFERRING DOMAIN-SPECIFIC RISK PROFILES., The annals of applied statistics, vol. 16 no. 1 (March, 2022), pp. 391-413 [doi]  [abs]
  31. Joubert, BR; Kioumourtzoglou, M-A; Chamberlain, T; Chen, HY; Gennings, C; Turyk, ME; Miranda, ML; Webster, TF; Ensor, KB; Dunson, DB; Coull, BA, Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods., International journal of environmental research and public health, vol. 19 no. 3 (January, 2022), pp. 1378 [doi]  [abs]
  32. Peruzzi, M; Dunson, DB, Spatial Multivariate Trees for Big Data Bayesian Regression., Journal of machine learning research : JMLR, vol. 23 (January, 2022), pp. 17  [abs]
  33. Zhang, R; Mak, S; Dunson, D, GAUSSIAN PROCESS SUBSPACE PREDICTION FOR MODEL REDUCTION, SIAM Journal on Scientific Computing, vol. 44 no. 3 (January, 2022), pp. A1428-A1449 [doi]  [abs]
  34. Badea, A; Li, D; Niculescu, AR; Anderson, RJ; Stout, JA; Williams, CL; Colton, CA; Maeda, N; Dunson, DB, Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer's Disease., Front Neurosci, vol. 16 (2022), pp. 848654 [doi]  [abs]
  35. Badea, A; Li, D; Niculescu, AR; Anderson, RJ; Stout, JA; Williams, CL; Colton, CA; Maeda, N; Dunson, DB, Corrigendum: Absolute winding number differentiates mouse spatial navigation strategies with genetic risk for Alzheimer's disease., Front Neurosci, vol. 16 (2022), pp. 1070425 [doi]  [abs]
  36. Liu, M; Zhang, Z; Dunson, DB, Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets., NeuroImage, vol. 245 (December, 2021), pp. 118750 [doi]  [abs]
  37. Dunson, DB; Wu, HT; Wu, N, Spectral convergence of graph Laplacian and heat kernel reconstruction in L from random samples, Applied and Computational Harmonic Analysis, vol. 55 (November, 2021), pp. 282-336 [doi]  [abs]
  38. Roy, A; Lavine, I; Herring, AH; Dunson, DB, PERTURBED FACTOR ANALYSIS: ACCOUNTING FOR GROUP DIFFERENCES IN EXPOSURE PROFILES., The annals of applied statistics, vol. 15 no. 3 (September, 2021), pp. 1386-1404 [doi]  [abs]
  39. Moran, KR; Dunson, D; Wheeler, MW; Herring, AH, BAYESIAN JOINT MODELING OF CHEMICAL STRUCTURE AND DOSE RESPONSE CURVES., The annals of applied statistics, vol. 15 no. 3 (September, 2021), pp. 1405-1430 [doi]  [abs]
  40. Aliverti, E; Lum, K; Johndrow, JE; Dunson, DB, Removing the influence of group variables in high-dimensional predictive modelling., Journal of the Royal Statistical Society. Series A, (Statistics in Society), vol. 184 no. 3 (July, 2021), pp. 791-811 [doi]  [abs]
  41. Moran, KR; Turner, EL; Dunson, D; Herring, AH, Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data., J R Stat Soc Ser C Appl Stat, vol. 70 no. 3 (June, 2021), pp. 532-557 [doi]  [abs]
  42. VAN DEN Boom, W; Reeves, G; Dunson, DB, Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation., Biometrika, vol. 108 no. 2 (June, 2021), pp. 269-282 [doi]  [abs]
  43. Paganin, S; Herring, AH; Olshan, AF; Dunson, DB; National Birth Defects Prevention Study, , Centered Partition Processes: Informative Priors for Clustering (with Discussion)., Bayesian analysis, vol. 16 no. 1 (March, 2021), pp. 301-370 [doi]  [abs]
  44. Lee, K; Lin, L; Dunson, D, Maximum pairwise bayes factors for covariance structure testing, Electronic Journal of Statistics, vol. 15 no. 2 (January, 2021), pp. 4384-4419 [doi]  [abs]
  45. Ferrari, F; Dunson, DB, Bayesian Factor Analysis for Inference on Interactions., Journal of the American Statistical Association, vol. 116 no. 535 (January, 2021), pp. 1521-1532 [doi]  [abs]
  46. Jauch, M; Hoff, PD; Dunson, DB, Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion, Journal of Computational and Graphical Statistics, vol. 30 no. 3 (January, 2021), pp. 622-631 [doi]  [abs]
  47. Roy, A; Borg, JS; Dunson, DB, Bayesian time-aligned factor analysis of paired multivariate time series., Journal of machine learning research : JMLR, vol. 22 (January, 2021), pp. 250  [abs]
  48. Papadogeorgou, G; Zhang, Z; Dunson, DB, Soft tensor regression, Journal of Machine Learning Research, vol. 22 (January, 2021), pp. 1-53  [abs]
  49. Duan, LL; Dunson, DB, Bayesian Distance Clustering., Journal of machine learning research : JMLR, vol. 22 (January, 2021), pp. 224  [abs]
  50. Zhu, Y; Li, C; Dunson, DB, Classification Trees for Imbalanced Data: Surface-to-Volume Regularization, Journal of the American Statistical Association (January, 2021) [doi]  [abs]
  51. Plummer, S; Zhou, S; Bhattacharya, A; Dunson, D; Pati, D, Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference, Proceedings of Machine Learning Research, vol. 130 (January, 2021), pp. 2449-2457  [abs]
  52. Sen, D; Sachs, M; Lu, J; Dunson, DB, Efficient posterior sampling for high-dimensional imbalanced logistic regression., Biometrika, vol. 107 no. 4 (December, 2020), pp. 1005-1012 [doi]  [abs]
  53. Mukhopadhyay, M; Li, D; Dunson, DB, Estimating densities with non-linear support by using Fisher-Gaussian kernels., Journal of the Royal Statistical Society. Series B, Statistical methodology, vol. 82 no. 5 (December, 2020), pp. 1249-1271 [doi]  [abs]
  54. Ferrari, F; Dunson, DB, IDENTIFYING MAIN EFFECTS AND INTERACTIONS AMONG EXPOSURES USING GAUSSIAN PROCESSES., The annals of applied statistics, vol. 14 no. 4 (December, 2020), pp. 1743-1758 [doi]  [abs]
  55. Li, D; Dunson, D, Classification via local manifold approximation, vol. 107 no. 4 (December, 2020), pp. 1013-1020 [doi]  [abs]
  56. Roy, A; Dunson, DB, Nonparametric graphical model for counts., Journal of machine learning research : JMLR, vol. 21 (December, 2020), pp. 229  [abs]
  57. Legramanti, S; Durante, D; Dunson, DB, Bayesian cumulative shrinkage for infinite factorizations., Biometrika, vol. 107 no. 3 (September, 2020), pp. 745-752 [doi]  [abs]
  58. Dunson, D; Papamarkou, T, Discussions, International Statistical Review, vol. 88 no. 2 (August, 2020), pp. 321-324 [doi]
  59. Binette, O; Pati, D; Dunson, DB, Bayesian closed surface fitting through tensor products, Journal of Machine Learning Research, vol. 21 (July, 2020), pp. 1-26  [abs]
  60. Aliverti, E; Tilson, JL; Filer, DL; Babcock, B; Colaneri, A; Ocasio, J; Gershon, TR; Wilhelmsen, KC; Dunson, DB, Projected t-SNE for batch correction., Bioinformatics (Oxford, England), vol. 36 no. 11 (June, 2020), pp. 3522-3527 [doi]  [abs]
  61. Nishimura, A; Dunson, DB; Lu, J, Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods, Biometrika, vol. 107 no. 2 (June, 2020), pp. 365-380 [doi]  [abs]
  62. Dunson, DB; Johndrow, JE, The Hastings algorithm at fifty, Biometrika, vol. 107 no. 1 (March, 2020), pp. 1-23 [doi]  [abs]
  63. Duan, LL; Young, AL; Nishimura, A; Dunson, DB, Bayesian constraint relaxation., Biometrika, vol. 107 no. 1 (March, 2020), pp. 191-204 [doi]  [abs]
  64. Tikhonov, G; Duan, L; Abrego, N; Newell, G; White, M; Dunson, D; Ovaskainen, O, Computationally efficient joint species distribution modeling of big spatial data., Ecology, vol. 101 no. 2 (February, 2020), pp. e02929 [doi]  [abs]
  65. Li, M; Dunson, DB, Comparing and weighting imperfect models using D-probabilities., Journal of the American Statistical Association, vol. 115 no. 531 (January, 2020), pp. 1349-1360 [doi]  [abs]
  66. Mukhopadhyay, M; Dunson, DB, Targeted Random Projection for Prediction From High-Dimensional Features, Journal of the American Statistical Association, vol. 115 no. 532 (January, 2020), pp. 1998-2010 [doi]  [abs]
  67. Jauch, M; Hoff, PD; Dunson, DB, Random orthogonal matrices and the Cayley transform, Bernoulli, vol. 26 no. 2 (January, 2020), pp. 1560-1586 [doi]  [abs]
  68. Nishimura, A; Dunson, D, Recycling Intermediate Steps to Improve Hamiltonian Monte Carlo, Bayesian Analysis, vol. 15 no. 4 (January, 2020), pp. 1087-1108 [doi]  [abs]
  69. Tam, E; Dunson, D, Fiedler regularization: Learning neural networks with graph sparsity, 37th International Conference on Machine Learning, ICML 2020, vol. PartF168147-12 (January, 2020), pp. 9288-9297, ISBN 9781713821120  [abs]
  70. Talbot, A; Dunson, D; Dzirasa, K; Carlson, D, Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity, arXiv preprint arXiv:2004.05209, vol. abs/2004.05209 (2020)
  71. Thai, DH; Wu, HT; Dunson, DB, Locally convex kernel mixtures: Bayesian subspace learning, Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 (December, 2019), pp. 272-275, ISBN 9781728145495 [doi]  [abs]
  72. Camerlenghi, F; Dunson, DB; Lijoi, A; Prünster, I; Rodríguez, A, Latent Nested Nonparametric Priors (with Discussion)., Bayesian analysis, vol. 14 no. 4 (December, 2019), pp. 1303-1356, Institute of Mathematical Statistics [doi]  [abs]
  73. Panea, RI; Love, CL; Shingleton, JR; Reddy, A; Bailey, JA; Moormann, AM; Otieno, JA; Ong'echa, JM; Oduor, CI; Schroeder, KMS; Masalu, N; Chao, NJ; Agajanian, M; Major, MB; Fedoriw, Y; Richards, KL; Rymkiewicz, G; Miles, RR; Alobeid, B; Bhagat, G; Flowers, CR; Ondrejka, SL; Hsi, ED; Choi, WWL; Au-Yeung, RKH; Hartmann, W; Lenz, G; Meyerson, H; Lin, Y-Y; Zhuang, Y; Luftig, MA; Waldrop, A; Dave, T; Thakkar, D; Sahay, H; Li, G; Palus, BC; Seshadri, V; Kim, SY; Gascoyne, RD; Levy, S; Mukhopadyay, M; Dunson, DB; Dave, SS, The whole-genome landscape of Burkitt lymphoma subtypes., Blood, vol. 134 no. 19 (November, 2019), pp. 1598-1607 [doi]  [abs]
  74. Chae, M; Lin, L; Dunson, DB, Bayesian sparse linear regression with unknown symmetric error, Information and Inference, vol. 8 no. 3 (September, 2019), pp. 621-653 [doi]  [abs]
  75. Zhang, Z; Allen, GI; Zhu, H; Dunson, D, Tensor network factorizations: Relationships between brain structural connectomes and traits., NeuroImage, vol. 197 (August, 2019), pp. 330-343 [doi]  [abs]
  76. Norberg, A; Abrego, N; Blanchet, FG; Adler, FR; Anderson, BJ; Anttila, J; Araújo, MB; Dallas, T; Dunson, D; Elith, J; Foster, SD; Fox, R; Franklin, J; Godsoe, W; Guisan, A; O'Hara, B; Hill, NA; Holt, RD; Hui, FKC; Husby, M; Kålås, JA; Lehikoinen, A; Luoto, M; Mod, HK; Newell, G; Renner, I; Roslin, T; Soininen, J; Thuiller, W; Vanhatalo, J; Warton, D; White, M; Zimmermann, NE; Gravel, D; Ovaskainen, O, A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels, Ecological Monographs, vol. 89 no. 3 (August, 2019) [doi]  [abs]
  77. Li, C; Lin, L; Dunson, DB, On posterior consistency of tail index for Bayesian kernel mixture models, Bernoulli, vol. 25 no. 3 (August, 2019), pp. 1999-2028, Bernoulli Society for Mathematical Statistics and Probability [doi]
  78. Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data, Journal of the American Statistical Association, vol. 114 no. 527 (July, 2019), pp. 1394-1403 [doi]  [abs]
  79. Niu, M; Cheung, P; Lin, L; Dai, Z; Lawrence, N; Dunson, D, Intrinsic Gaussian processes on complex constrained domains, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 81 no. 3 (July, 2019), pp. 603-627 [doi]  [abs]
  80. Wang, L; Zhang, Z; Dunson, D, Symmetric Bilinear Regression for Signal Subgraph Estimation., IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol. 67 no. 7 (April, 2019), pp. 1929-1940 [doi]  [abs]
  81. Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions., Journal of the American Statistical Association, vol. 114 no. 528 (January, 2019), pp. 1505-1517 [doi]  [abs]
  82. Wang, L; Zhengwu Zhang, ; Dunson, , COMMON AND INDIVIDUAL STRUCTURE OF MULTIPLE NETWORKS, vol. 13 no. 1 (January, 2019), pp. 85-112 [doi]  [abs]
  83. Miller, JW; Dunson, DB, Robust Bayesian inference via coarsening., Journal of the American Statistical Association, vol. 114 no. 527 (January, 2019), pp. 1113-1125, Informa UK Limited [doi]  [abs]
  84. Lin, L; Mu, N; Cheung, P; Dunson, D, Extrinsic Gaussian processes for regression and classification on manifolds, Bayesian Analysis, vol. 14 no. 3 (January, 2019), pp. 887-906 [doi]  [abs]
  85. Dunson, D; Wood, S, Report of the Editors—2018, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 81 no. 1 (January, 2019), pp. 3-4 [doi]
  86. Badea, A; Wu, W; Shuff, J; Wang, M; Anderson, RJ; Qi, Y; Johnson, GA; Wilson, JG; Koudoro, S; Garyfallidis, E; Colton, CA; Dunson, DB, Identifying Vulnerable Brain Networks in Mouse Models of Genetic Risk Factors for Late Onset Alzheimer's Disease., Front Neuroinform, vol. 13 (2019), pp. 72 [doi]  [abs]
  87. Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment., Biometrics, vol. 74 no. 4 (December, 2018), pp. 1331-1340 [doi]  [abs]
  88. Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax, Journal of the American Statistical Association, vol. 113 no. 524 (October, 2018), pp. 1515-1527, Informa UK Limited [doi]  [abs]
  89. Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration, Journal of Machine Learning Research, vol. 19 (October, 2018)  [abs]
  90. Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space, Journal of Machine Learning Research, vol. 19 (August, 2018), pp. 1-35  [abs]
  91. van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extrema-weighted feature extraction for functional data., Bioinformatics, vol. 34 no. 14 (July, 2018), pp. 2457-2464 [doi]  [abs]
  92. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering, Journal of Computational and Graphical Statistics, vol. 27 no. 3 (July, 2018), pp. 657-672, Informa UK Limited [doi]  [abs]
  93. Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian Multi-Plate High-Throughput Screening of Compounds., Sci Rep, vol. 8 no. 1 (June, 2018), pp. 9551 [doi]  [abs]
  94. Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage., Biometrika, vol. 105 no. 2 (June, 2018), pp. 431-446 [doi]  [abs]
  95. Dunson, DB, Statistics in the big data era: Failures of the machine, Statistics and Probability Letters, vol. 136 (May, 2018), pp. 4-9, Elsevier BV [doi]  [abs]
  96. Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping population-based structural connectomes., NeuroImage, vol. 172 (May, 2018), pp. 130-145 [doi]  [abs]
  97. van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, G-O; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries., Diabetes Care, vol. 41 no. 4 (April, 2018), pp. 782-788 [doi]  [abs]
  98. Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from two-photon imaging data., PloS one, vol. 13 no. 5 (January, 2018), pp. e0196527 [doi]  [abs]
  99. Zhao, S; Engelhardt, BE; Mukherjee, S; Dunson, DB, Fast Moment Estimation for Generalized Latent Dirichlet Models., Journal of the American Statistical Association, vol. 113 no. 524 (January, 2018), pp. 1528-1540 [doi]  [abs]
  100. Durante, D; Dunson, DB, Bayesian inference and testing of group differences in brain networks, Bayesian Analysis, vol. 13 no. 1 (January, 2018), pp. 29-58, Institute of Mathematical Statistics [doi]  [abs]
  101. Durante, D; Dunson, DB, Supplementary Material For “Bayesian Inference And Testing Of Group Differences In Brain Networks”, Bayesian Analysis, vol. 13 no. 1 (January, 2018), pp. 1-2 [doi]  [abs]
  102. Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Robust and scalable bayes via a median of subset posterior measures, Journal of Machine Learning Research, vol. 18 (December, 2017), pp. 1-40  [abs]
  103. Wheeler, MW; Dunson, DB; Herring, AH, Bayesian local extremum splines, Biometrika, vol. 104 no. 4 (December, 2017), pp. 939-952, Oxford University Press (OUP) [doi]  [abs]
  104. Shang, Y; Dunson, D; Song, JS, Exploiting big data in logistics risk assessment via Bayesian nonparametrics, Operations Research, vol. 65 no. 6 (November, 2017), pp. 1574-1588, Institute for Operations Research and the Management Sciences (INFORMS) [doi]  [abs]
  105. Reddy, A; Zhang, J; Davis, NS; Moffitt, AB; Love, CL; Waldrop, A; Leppa, S; Pasanen, A; Meriranta, L; Karjalainen-Lindsberg, M-L; Nørgaard, P; Pedersen, M; Gang, AO; Høgdall, E; Heavican, TB; Lone, W; Iqbal, J; Qin, Q; Li, G; Kim, SY; Healy, J; Richards, KL; Fedoriw, Y; Bernal-Mizrachi, L; Koff, JL; Staton, AD; Flowers, CR; Paltiel, O; Goldschmidt, N; Calaminici, M; Clear, A; Gribben, J; Nguyen, E; Czader, MB; Ondrejka, SL; Collie, A; Hsi, ED; Tse, E; Au-Yeung, RKH; Kwong, Y-L; Srivastava, G; Choi, WWL; Evens, AM; Pilichowska, M; Sengar, M; Reddy, N; Li, S; Chadburn, A; Gordon, LI; Jaffe, ES; Levy, S; Rempel, R; Tzeng, T; Happ, LE; Dave, T; Rajagopalan, D; Datta, J; Dunson, DB; Dave, SS, Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma., Cell, vol. 171 no. 2 (October, 2017), pp. 481-494.e15 [doi]  [abs]
  106. Durante, D; Dunson, DB; Vogelstein, JT, Rejoinder: Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (October, 2017), pp. 1547-1552, Informa UK Limited [doi]
  107. Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (October, 2017), pp. 1516-1530, Informa UK Limited [doi]  [abs]
  108. Li, C; Srivastava, S; Dunson, DB, Simple, scalable and accurate posterior interval estimation, Biometrika, vol. 104 no. 3 (September, 2017), pp. 665-680, Oxford University Press (OUP) [doi]  [abs]
  109. Lock, EF; Dunson, DB, Bayesian genome- and epigenome-wide association studies with gene level dependence., Biometrics, vol. 73 no. 3 (September, 2017), pp. 1018-1028 [doi]  [abs]
  110. Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis., Biometrika, vol. 104 no. 3 (September, 2017), pp. 649-663 [doi]  [abs]
  111. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression, Journal of Machine Learning Research, vol. 18 (August, 2017), pp. 1-31  [abs]
  112. Rao, V; Adams, RP; Dunson, DD, Bayesian inference for Matérn repulsive processes, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 79 no. 3 (June, 2017), pp. 877-897 [doi]  [abs]
  113. Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L, Rat intersubjective decisions are encoded by frequency-specific oscillatory contexts., Brain Behav, vol. 7 no. 6 (June, 2017), pp. e00710 [doi]  [abs]
  114. Zhu, B; Dunson, DB, Bayesian functional data modeling for heterogeneous volatility, Bayesian Analysis, vol. 12 no. 2 (June, 2017), pp. 335-350, Institute of Mathematical Statistics [doi]  [abs]
  115. Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian network-response regression., Bioinformatics (Oxford, England), vol. 33 no. 12 (June, 2017), pp. 1859-1866 [doi]  [abs]
  116. Ovaskainen, O; Tikhonov, G; Norberg, A; Guillaume Blanchet, F; Duan, L; Dunson, D; Roslin, T; Abrego, N, How to make more out of community data? A conceptual framework and its implementation as models and software., Ecology letters, vol. 20 no. 5 (May, 2017), pp. 561-576 [doi]  [abs]
  117. Ovaskainen, O; Tikhonov, G; Dunson, D; Grøtan, V; Engen, S; Sæther, B-E; Abrego, N, How are species interactions structured in species-rich communities? A new method for analysing time-series data., Proceedings. Biological sciences, vol. 284 no. 1855 (May, 2017), pp. 20170768 [doi]  [abs]
  118. Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; Au-Yeung, RKH; Kwong, Y-L; Srivastava, G; Iqbal, J; Yu, J; Naresh, K; Villa, D; Gascoyne, RD; Said, J; Czader, MB; Chadburn, A; Richards, KL; Rajagopalan, D; Davis, NS; Smith, EC; Palus, BC; Tzeng, TJ; Healy, JA; Lugar, PL; Datta, J; Love, C; Levy, S; Dunson, DB; Zhuang, Y; Hsi, ED; Dave, SS, Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2., J Exp Med, vol. 214 no. 5 (May, 2017), pp. 1371-1386 [doi]  [abs]
  119. Durante, D; Paganin, S; Scarpa, B; Dunson, DB, Bayesian modelling of networks in complex business intelligence problems, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 66 no. 3 (April, 2017), pp. 555-580, WILEY [doi]  [abs]
  120. McKinney, M; Moffitt, AB; Gaulard, P; Travert, M; De Leval, L; Nicolae, A; Raffeld, M; Jaffe, ES; Pittaluga, S; Xi, L; Heavican, T; Iqbal, J; Belhadj, K; Delfau-Larue, MH; Fataccioli, V; Czader, MB; Lossos, IS; Chapman-Fredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; Mehta-Shah, N; Horwitz, S; Bernal-Mizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A; Au-Yeung, RKH; Srivastava, G; Choi, WWL; Goodlad, JR; Aurer, I; Basic-Kinda, S; Gascoyne, RD; Davis, NS; Li, G; Zhang, J; Rajagopalan, D; Reddy, A; Love, C; Levy, S; Zhuang, Y; Datta, J; Dunson, DB; Davé, SS, The Genetic Basis of Hepatosplenic T-cell Lymphoma., Cancer Discov, vol. 7 no. 4 (April, 2017), pp. 369-379 [doi]  [abs]
  121. Tikhonov, G; Abrego, N; Dunson, D; Ovaskainen, O, Using joint species distribution models for evaluating how species-to-species associations depend on the environmental context, edited by Warton, D, Methods in Ecology and Evolution, vol. 8 no. 4 (April, 2017), pp. 443-452, WILEY [doi]  [abs]
  122. Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the stiefel manifold, Statistica Sinica, vol. 27 no. 2 (April, 2017), pp. 535-553, Institute of Statistical Science [doi]  [abs]
  123. Dunson, DB, Toward automated prior choice, Statistical Science, vol. 32 no. 1 (February, 2017), pp. 41-43, Institute of Mathematical Statistics [doi]
  124. Abrego, N; Dunson, D; Halme, P; Salcedo, I; Ovaskainen, O, Wood-inhabiting fungi with tight associations with other species have declined as a response to forest management, Oikos, vol. 126 no. 2 (February, 2017), WILEY [doi]  [abs]
  125. Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS., Annals of statistics, vol. 45 no. 1 (January, 2017), pp. 1-38 [doi]  [abs]
  126. Lin, L; St Thomas, B; Zhu, H; Dunson, DB, Extrinsic local regression on manifold-valued data., Journal of the American Statistical Association, vol. 112 no. 519 (January, 2017), pp. 1261-1273 [doi]  [abs]
  127. Dunson, D; Fryzlewicz, P, Report of the editors-2016, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 79 no. 1 (January, 2017), pp. 3-4 [doi]
  128. Bhattacharya, A; Dunson, DB; Pati, D; Pillai, NS, Sub-optimality of some continuous shrinkage priors, Stochastic Processes and their Applications, vol. 126 no. 12 (December, 2016), pp. 3828-3842, Elsevier BV [doi]  [abs]
  129. Durante, D; Dunson, DB, Locally adaptive dynamic networks, Annals of Applied Statistics, vol. 10 no. 4 (December, 2016), pp. 2203-2232, Institute of Mathematical Statistics [doi]  [abs]
  130. Datta, J; Dunson, DB, Bayesian inference on quasi-sparse count data., Biometrika, vol. 103 no. 4 (December, 2016), pp. 971-983 [doi]  [abs]
  131. Zhu, H; Strawn, N; Dunson, DB, Bayesian graphical models for multivariate functional data, Journal of Machine Learning Research, vol. 17 (October, 2016), pp. 1-27  [abs]
  132. Sarkar, A; Dunson, DB, Bayesian Nonparametric Modeling of Higher Order Markov Chains, Journal of the American Statistical Association, vol. 111 no. 516 (October, 2016), pp. 1791-1803, Informa UK Limited [doi]  [abs]
  133. Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing cradle artifacts in X-ray images of paintings, SIAM Journal on Imaging Sciences, vol. 9 no. 3 (August, 2016), pp. 1247-1272, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  134. Li, D; Heyer, L; Jennings, VH; Smith, CA; Dunson, DB, Personalised estimation of a woman's most fertile days., The European journal of contraception & reproductive health care : the official journal of the European Society of Contraception, vol. 21 no. 4 (August, 2016), pp. 323-328 [doi]  [abs]
  135. Hultman, R; Mague, SD; Li, Q; Katz, BM; Michel, N; Lin, L; Wang, J; David, LK; Blount, C; Chandy, R; Carlson, D; Ulrich, K; Carin, L; Dunson, D; Kumar, S; Deisseroth, K; Moore, SD; Dzirasa, K, Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology., Neuron, vol. 91 no. 2 (July, 2016), pp. 439-452 [doi]  [abs]
  136. Canale, A; Dunson, DB, Multiscale bernstein polynomials for densities, Statistica Sinica, vol. 26 no. 3 (July, 2016), pp. 1175-1195, Institute of Statistical Science [doi]  [abs]
  137. Kunihama, T; Herring, AH; Halpern, CT; Dunson, DB, Nonparametric Bayes modeling with sample survey weights., Statistics & probability letters, vol. 113 (June, 2016), pp. 41-48, Elsevier BV [doi]  [abs]
  138. Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling., Biometrika, vol. 103 no. 2 (June, 2016), pp. 319-335 [doi]  [abs]
  139. Ovaskainen, O; Abrego, N; Halme, P; Dunson, D, Using latent variable models to identify large networks of species-to-species associations at different spatial scales, edited by Warton, D, Methods in Ecology and Evolution, vol. 7 no. 5 (May, 2016), pp. 549-555, WILEY [doi]  [abs]
  140. Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression, Journal of Machine Learning Research, vol. 17 (May, 2016)  [abs]
  141. Kabisa, S; Dunson, DB; Morris, JS, Online Variational Bayes Inference for High-Dimensional Correlated Data, Journal of Computational and Graphical Statistics, vol. 25 no. 2 (April, 2016), pp. 426-444, Informa UK Limited [doi]  [abs]
  142. Yang, Y; Dunson, DB, Bayesian manifold regression, Annals of Statistics, vol. 44 no. 2 (April, 2016), pp. 876-905, Institute of Mathematical Statistics [doi]  [abs]
  143. Zhou, J; Herring, AH; Bhattacharya, A; Olshan, AF; Dunson, DB; National Birth Defects Prevention Study, , Nonparametric Bayes modeling for case control studies with many predictors., Biometrics, vol. 72 no. 1 (March, 2016), pp. 184-192 [doi]  [abs]
  144. Tang, K; Dunson, DB; Su, Z; Liu, R; Zhang, J; Dong, J, Subspace segmentation by dense block and sparse representation., Neural networks : the official journal of the International Neural Network Society, vol. 75 (March, 2016), pp. 66-76 [doi]  [abs]
  145. Wang, X; Dunson, D; Leng, C, No penalty no tears: Least squares in high-dimensional linear models, 33rd International Conference on Machine Learning, ICML 2016, vol. 4 (January, 2016), pp. 2685-2706, ISBN 9781510829008  [abs]
  146. Yang, Y; Dunson, DB, Bayesian Conditional Tensor Factorizations for High-Dimensional Classification., Journal of the American Statistical Association, vol. 111 no. 514 (January, 2016), pp. 656-669, Informa UK Limited [doi]  [abs]
  147. Wang, X; Dunson, D; Leng, C, DECOrrelated feature space partitioning for distributed sparse regression, Advances in Neural Information Processing Systems (January, 2016), pp. 802-810  [abs]
  148. Wang, Y; Canale, A; Dunson, D, Scalable geometric density estimation, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016 (January, 2016), pp. 857-865  [abs]
  149. Han, S; Liao, X; Dunson, DB; Carin, L, Variational Gaussian copula inference, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016 (January, 2016), pp. 829-838  [abs]
  150. Chabout, J; Sarkar, A; Patel, SR; Radden, T; Dunson, DB; Fisher, SE; Jarvis, ED, A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice., Front Behav Neurosci, vol. 10 (2016), pp. 197 [doi]  [abs]
  151. Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression, Journal of Machine Learning Research, vol. 16 (December, 2015), pp. 2501-2542  [abs]
  152. Yazdani, A; Dunson, DB, A hybrid bayesian approach for genome-wide association studies on related individuals., Bioinformatics (Oxford, England), vol. 31 no. 24 (December, 2015), pp. 3890-3896 [doi]  [abs]
  153. Lock, EF; Dunson, DB, Shared kernel Bayesian screening., Biometrika, vol. 102 no. 4 (December, 2015), pp. 829-842 [doi]  [abs]
  154. Bhattacharya, A; Pati, D; Pillai, NS; Dunson, DB, Dirichlet-Laplace priors for optimal shrinkage., Journal of the American Statistical Association, vol. 110 no. 512 (December, 2015), pp. 1479-1490 [doi]  [abs]
  155. Guhaniyogi, R; Dunson, DB, Bayesian Compressed Regression, Journal of the American Statistical Association, vol. 110 no. 512 (October, 2015), pp. 1500-1514, Informa UK Limited [doi]  [abs]
  156. Guo, F; Dunson, DB, Uncovering systematic bias in ratings across categories: A Bayesian approach, RecSys 2015 - Proceedings of the 9th ACM Conference on Recommender Systems (September, 2015), pp. 317-320, ISBN 9781450336925 [doi]  [abs]
  157. Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference (August, 2015)  [abs]
  158. Hua, Z; Zhu, H; Dunson, DB, Semiparametric Bayes local additive models for longitudinal data., Statistics in biosciences, vol. 7 no. 1 (May, 2015), pp. 90-107, ISSN 1867-1764 [doi]  [abs]
  159. Li, D; Wilcox, AJ; Dunson, DB, Benchmark pregnancy rates and the assessment of post-coital contraceptives: an update., Contraception, vol. 91 no. 4 (April, 2015), pp. 344-349, ISSN 0010-7824 [doi]  [abs]
  160. Strawn, N; Armagan, A; Saab, R; Carin, L; Dunson, D, Erratum: Finite sample posterior concentration in high-dimensional regression (Information and Inference (2015) 3 (103-133) DOI: 10.1093/imaiai/iau003), Information and Inference, vol. 4 no. 1 (March, 2015), pp. 77 [doi]  [abs]
  161. Lock, EF; Soldano, KL; Garrett, ME; Cope, H; Markunas, CA; Fuchs, H; Grant, G; Dunson, DB; Gregory, SG; Ashley-Koch, AE, Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation., BMC Genomics, vol. 16 no. 1 (January, 2015), pp. 11 [doi]  [abs]
  162. Canale, A; Dunson, DB, Bayesian multivariate mixed-scale density estimation, Statistics and its Interface, vol. 8 no. 2 (January, 2015), pp. 195-201, International Press of Boston, ISSN 1938-7989 [doi]  [abs]
  163. Kessler, DC; Hoff, PD; Dunson, DB, Marginally specified priors for non-parametric Bayesian estimation., Journal of the Royal Statistical Society. Series B, Statistical methodology, vol. 77 no. 1 (January, 2015), pp. 35-58, ISSN 1369-7412 [doi]  [abs]
  164. Van Den Boom, W; Dunson, D; Reeves, G, Quantifying uncertainty in variable selection with arbitrary matrices, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 (January, 2015), pp. 385-388, ISBN 9781479919635 [doi]  [abs]
  165. Zhou, J; Bhattacharya, A; Herring, A; Dunson, D, Bayesian factorizations of big sparse tensors., Journal of the American Statistical Association, vol. 110 no. 512 (January, 2015), pp. 1562-1576, Informa UK Limited [doi]  [abs]
  166. Srivastava, S; Cevher, V; Tran-Dinh, Q; Dunson, DB, WASP: Scalable Bayes via barycenters of subset posteriors, Journal of Machine Learning Research, vol. 38 (January, 2015), pp. 912-920  [abs]
  167. Wang, X; Leng, C; Dunson, DB, On the consistency theory of high dimensional variable screening, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 2431-2439  [abs]
  168. Wang, X; Guo, F; Heller, KA; Dunson, DB, Parallelizing MCMC with random partition trees, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 451-459  [abs]
  169. Wang, Y; Dunson, D, Probabilistic curve learning: Coulomb repulsion and the electrostatic Gaussian process, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 1738-1746  [abs]
  170. Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence, Biometrika, vol. 103 no. 1 (January, 2015), pp. 35-47, Oxford University Press (OUP) [doi]  [abs]
  171. Chabout, J; Sarkar, A; Dunson, DB; Jarvis, ED, Male mice song syntax depends on social contexts and influences female preferences., Front Behav Neurosci, vol. 9 (2015), pp. 76, FRONTIERS MEDIA SA [repository], [doi]  [abs]
  172. Durante, D; Dunson, DB, Nonparametric Bayes dynamic modelling of relational data, Biometrika, vol. 101 no. 4 (December, 2014), pp. 883-898, Oxford University Press (OUP) [doi]  [abs]
  173. Yang, H; Liu, F; Ji, C; Dunson, D, Adaptive sampling for Bayesian geospatial models, Statistics and Computing, vol. 24 no. 6 (November, 2014), pp. 1101-1110, Springer Nature, ISSN 0960-3174 [doi]  [abs]
  174. Gu, K; Pati, D; Dunson, DB, Bayesian Multiscale Modeling of Closed Curves in Point Clouds., Journal of the American Statistical Association, vol. 109 no. 508 (October, 2014), pp. 1481-1494, ISSN 0162-1459 [doi]  [abs]
  175. Rodriguez, A; Dunson, DB, Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies, Annals of Applied Statistics, vol. 8 no. 3 (September, 2014), pp. 1416-1442, Institute of Mathematical Statistics, ISSN 1932-6157 [doi]  [abs]
  176. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 890-891, Informa UK Limited, ISSN 0162-1459 [doi]
  177. Wheeler, MW; Dunson, DB; Pandalai, SP; Baker, BA; Herring, AH, Mechanistic Hierarchical Gaussian Processes., Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 894-904, ISSN 0162-1459 [doi]  [abs]
  178. Kessler, DC; Taylor, JA; Dunson, DB, Learning phenotype densities conditional on many interacting predictors., Bioinformatics (Oxford, England), vol. 30 no. 11 (June, 2014), pp. 1562-1568, ISSN 1367-4803 [doi]  [abs]
  179. Strawn, N; Armagan, A; Saab, R; Carin, L; Dunson, D, Finite sample posterior concentration in high-dimensional regression, Information and Inference, vol. 3 no. 2 (June, 2014), pp. 103-133 [doi]  [abs]
  180. Zhang, J; Jima, D; Moffitt, AB; Liu, Q; Czader, M; Hsi, ED; Fedoriw, Y; Dunphy, CH; Richards, KL; Gill, JI; Sun, Z; Love, C; Scotland, P; Lock, E; Levy, S; Hsu, DS; Dunson, D; Dave, SS, The genomic landscape of mantle cell lymphoma is related to the epigenetically determined chromatin state of normal B cells., Blood, vol. 123 no. 19 (May, 2014), pp. 2988-2996, ISSN 0006-4971 [doi]  [abs]
  181. Kundu, S; Dunson, DB, Bayes variable selection in semiparametric linear models., Journal of the American Statistical Association, vol. 109 no. 505 (March, 2014), pp. 437-447, ISSN 0162-1459 [doi]  [abs]
  182. Cui, K; Dunson, DB, Generalized Dynamic Factor Models for Mixed-Measurement Time Series., Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 23 no. 1 (February, 2014), pp. 169-191, ISSN 1061-8600 [doi]  [abs]
  183. Pati, D; Dunson, DB, Bayesian nonparametric regression with varying residual density., Annals of the Institute of Statistical Mathematics, vol. 66 no. 1 (February, 2014), pp. 1-31, ISSN 0020-3157 [doi]  [abs]
  184. Yin, R; Dunson, D; Cornelis, B; Brown, B; Ocon, N; Daubechies, I, Digital cradle removal in X-ray images of art paintings, 2014 IEEE International Conference on Image Processing, ICIP 2014 (January, 2014), pp. 4299-4303, IEEE, ISBN 9781479957514 [doi]  [abs]
  185. Rai, P; Wang, Y; Guo, S; Chen, G; Dunson, D; Carin, L, Scalable bayesian low-rank decomposition of incomplete multiway tensors, 31st International Conference on Machine Learning, ICML 2014, vol. 5 (January, 2014), pp. 3810-3820, ISBN 9781634393973  [abs]
  186. Wang, X; Peng, P; Dunson, DB, Median selection subset aggregation for parallel inference, Advances in Neural Information Processing Systems, vol. 3 no. January (January, 2014), pp. 2195-2203, ISSN 1049-5258  [abs]
  187. Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Scalable and robust Bayesian inference via the median posterior, 31st International Conference on Machine Learning, ICML 2014, vol. 5 (January, 2014), pp. 3629-3639, ISBN 9781634393973  [abs]
  188. Kundu, S; Dunson, DB, Latent factor models for density estimation, Biometrika, vol. 101 no. 3 (January, 2014), pp. 641-654, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  189. Hannah, LA; Powell, WB; Dunson, DB, Semiconvex regression for metamodeling-based optimization, SIAM Journal on Optimization, vol. 24 no. 2 (January, 2014), pp. 573-597, Society for Industrial & Applied Mathematics (SIAM), ISSN 1052-6234 [doi]  [abs]
  190. Pati, D; Bhattacharya, A; Pillai, NS; Dunson, D, Posterior contraction in sparse bayesian factor models for massive covariance matrices, Annals of Statistics, vol. 42 no. 3 (January, 2014), pp. 1102-1130, Institute of Mathematical Statistics, ISSN 0090-5364 [doi]  [abs]
  191. Durante, D; Dunson, DB, Bayesian dynamic financial networks with time-varying predictors, Statistics and Probability Letters, vol. 93 (January, 2014), pp. 19-26, Elsevier BV, ISSN 0167-7152 [doi]  [abs]
  192. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive factor processes for multivariate time series, Journal of Machine Learning Research, vol. 15 (January, 2014), pp. 1493-1522, ISSN 1532-4435  [abs]
  193. Lin, L; Dunson, DB, Bayesian monotone regression using Gaussian process projection, Biometrika, vol. 101 no. 2 (January, 2014), pp. 303-317, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  194. Xing, Z; Nicholson, B; Jimenez, M; Veldman, T; Hudson, L; Lucas, J; Dunson, D; Zaas, AK; Woods, CW; Ginsburg, GS; Carin, L, Bayesian modeling of temporal properties of infectious disease in a college student population, Journal of Applied Statistics, vol. 41 no. 6 (January, 2014), pp. 1358-1382, ISSN 0266-4763 [doi]  [abs]
  195. Wade, S; Dunson, DB; Petrone, S; Trippa, L, Improving prediction from dirichlet process mixtures via enrichment, Journal of Machine Learning Research, vol. 15 (January, 2014), pp. 1041-1071, ISSN 1532-4435  [abs]
  196. Chen, CWS; Dunson, D; Frühwirth-Schnatter, S; Walker, SG, Special issue on Bayesian computing, methods and applications, Computational Statistics and Data Analysis, vol. 71 (January, 2014), pp. 273, Elsevier BV, ISSN 0167-9473 [doi]
  197. Bhattacharya, A; Pati, D; Dunson, D, Anisotropic function estimation using multi-bandwidth Gaussian processes, Annals of Statistics, vol. 42 no. 1 (January, 2014), pp. 352-381, Institute of Mathematical Statistics [doi]  [abs]
  198. Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks, Journal of Machine Learning Research, vol. 33 (January, 2014), pp. 194-201  [abs]
  199. Scarpa, B; Dunson, DB, Enriched Stick Breaking Processes for Functional Data., Journal of the American Statistical Association, vol. 109 no. 506 (January, 2014), pp. 647-660 [doi]  [abs]
  200. Dunson, DB, Nonparametric Bayes, in Past, Present, and Future of Statistical Science (January, 2014), pp. 281-291, ISBN 9781482204964  [abs]
  201. Cornelis, B; Yang, Y; Vogelstein, JT; Dooms, A; Daubechies, I; Dunson, D, Bayesian crack detection in ultra high resolution multimodal images of paintings, 2013 18th International Conference on Digital Signal Processing, DSP 2013 (December, 2013) [1304.5894v2], [doi]  [abs]
  202. Armagan, A; Dunson, DB; Lee, J; Bajwa, WU; Strawn, N, Posterior consistency in linear models under shrinkage priors, Biometrika, vol. 100 no. 4 (December, 2013), pp. 1011-1018, Oxford University Press (OUP), ISSN 0006-3444 [Gateway.cgi], [doi]  [abs]
  203. Canale, A; Dunson, DB, Nonparametric Bayes modelling of count processes, Biometrika, vol. 100 no. 4 (December, 2013), pp. 801-816, Oxford University Press (OUP), ISSN 0006-3444 [Gateway.cgi], [doi]  [abs]
  204. Hannah, LA; Dunson, DB, Multivariate convex regression with adaptive partitioning, Journal of Machine Learning Research, vol. 14 (November, 2013), pp. 3153-3188, MICROTOME PUBL, ISSN 1532-4435  [abs]
  205. Li, D; Longnecker, MP; Dunson, DB, Lipid adjustment for chemical exposures: accounting for concomitant variables., Epidemiology (Cambridge, Mass.), vol. 24 no. 6 (November, 2013), pp. 921-928 [24051893], [doi]  [abs]
  206. Hannah, LA; Dunson, DB, Multivariate Convex Regression with Adaptive Partitioning, JOURNAL OF MACHINE LEARNING RESEARCH, vol. 14 (November, 2013), pp. 3261-3294, MICROTOME PUBL
  207. Lock, EF; Dunson, DB, Bayesian consensus clustering., Bioinformatics (Oxford, England), vol. 29 no. 20 (October, 2013), pp. 2610-2616 [23990412], [doi]  [abs]
  208. Salazar, E; Dunson, DB; Carin, L, Analysis of space-time relational data with application to legislative voting, Computational Statistics and Data Analysis, vol. 68 (July, 2013), pp. 141-154, Elsevier BV, ISSN 0167-9473 [doi]  [abs]
  209. Zhu, B; Ashley-Koch, AE; Dunson, DB, Generalized admixture mapping for complex traits., G3 (Bethesda), vol. 3 no. 7 (July, 2013), pp. 1165-1175 [23665878], [doi]  [abs]
  210. Murray, JS; Dunson, DB; Carin, L; Lucas, JE, Bayesian Gaussian Copula Factor Models for Mixed Data., Journal of the American Statistical Association, vol. 108 no. 502 (June, 2013), pp. 656-665 [1111.0317v2], [doi]  [abs]
  211. Page, G; Bhattacharya, A; Dunson, D, Classification via bayesian nonparametric learning of affine subspaces, Journal of the American Statistical Association, vol. 108 no. 501 (May, 2013), pp. 187-201, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  212. Pati, D; Dunson, DB; Tokdar, ST, Posterior consistency in conditional distribution estimation., Journal of multivariate analysis, vol. 116 (April, 2013), pp. 456-472, ISSN 0047-259X [doi]  [abs]
  213. Wang, E; Salazar, E; Dunson, D; Carin, L, Spatio-temporal modeling of legislation and votes, Bayesian Analysis, vol. 8 no. 1 (March, 2013), pp. 233-268, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]  [abs]
  214. Zhang, J; Grubor, V; Love, CL; Banerjee, A; Richards, KL; Mieczkowski, PA; Dunphy, C; Choi, W; Au, WY; Srivastava, G; Lugar, PL; Rizzieri, DA; Lagoo, AS; Bernal-Mizrachi, L; Mann, KP; Flowers, C; Naresh, K; Evens, A; Gordon, LI; Czader, M; Gill, JI; Hsi, ED; Liu, Q; Fan, A; Walsh, K; Jima, D; Smith, LL; Johnson, AJ; Byrd, JC; Luftig, MA; Ni, T; Zhu, J; Chadburn, A; Levy, S; Dunson, D; Dave, SS, Genetic heterogeneity of diffuse large B-cell lymphoma., Proc Natl Acad Sci U S A, vol. 110 no. 4 (January, 2013), pp. 1398-1403 [23292937], [doi]  [abs]
  215. Petralia, F; Vogelstein, J; Dunson, DB, Multiscale dictionary learning for estimating conditional distributions, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258  [abs]
  216. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258  [abs]
  217. Zhu, B; Dunson, DB, Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes., Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), ISSN 0162-1459 [doi]  [abs]
  218. Kunihama, T; Dunson, DB, Bayesian modeling of temporal dependence in large sparse contingency tables., Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), pp. 1324-1338, ISSN 0162-1459 [doi]  [abs]
  219. Armagan, A; Dunson, DB; Lee, J, GENERALIZED DOUBLE PARETO SHRINKAGE., Statistica Sinica, vol. 23 no. 1 (January, 2013), pp. 119-143, ISSN 1017-0405 [doi]  [abs]
  220. Chen, B; Polatkan, G; Sapiro, G; Blei, D; Dunson, D; Carin, L, Deep Learning with Hierarchical Convolutional Factor Analysis., IEEE transactions on pattern analysis and machine intelligence (January, 2013) [23319498]  [abs]
  221. Yu, K; Chen, CWS; Reed, C; Dunson, DB, Bayesian variable selection in quantile regression, Statistics and its Interface, vol. 6 no. 2 (January, 2013), pp. 261-274, International Press of Boston, ISSN 1938-7989 [Gateway.cgi], [doi]  [abs]
  222. Gelman, A; Carlin, JB; Stern, HS; Dunson, DB; Vehtari, A; Rubin, DB, Bayesian data analysis, third edition (January, 2013), pp. 1-646, ISBN 9781439840955  [abs]
  223. Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 29-38  [abs]
  224. Banerjee, A; Murray, J; Dunson, DB, Bayesian learning of joint distributions of objects, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 1-9  [abs]
  225. Carlson, DE; Vogelstein, JT; Wu, Q; Lian, W; Zhou, M; Stoetzner, CR; Kipke, D; Weber, D; Dunson, DB; Carin, L, Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling, IEEE Transactions on Biomedical Engineering, vol. 61 no. 1 (2013), pp. 41-54, IEEE, ISSN 0018-9294 [doi]  [abs]
  226. Xing, Z; Nicholson, B; Jimenez, M; Veldman, T; Hudson, L; Lucas, J; Dunson, D; Zaas, AK; Woods, CW; Ginsburg, GS; Carin, L, Bayesian modeling of temporal properties of infectious disease in a college student population, Journal of Applied Statistics, vol. 41 no. 6 (2013), pp. 1358-1382, Informa UK Limited, ISSN 0266-4763 [doi]
  227. Banerjee, A; Dunson, DB; Tokdar, ST, Efficient Gaussian process regression for large datasets, Biometrika, vol. 100 no. 1 (2013), pp. 75-89 [1106.5779v1], [doi]  [abs]
  228. Zhu, B; Dunson, DB; Ashley-Koch, AE, Adverse subpopulation regression for multivariate outcomes with high-dimensional predictors., Stat Med, vol. 31 no. 29 (December, 2012), pp. 4102-4113 [22825854], [doi]  [abs]
  229. Petralia, F; Rao, V; Dunson, DB, Repulsive mixtures, Advances in Neural Information Processing Systems, vol. 3 (December, 2012), pp. 1889-1897, ISSN 1049-5258  [abs]
  230. Fox, EB; Dunson, DB, Multiresolution Gaussian processes, Advances in Neural Information Processing Systems, vol. 1 (December, 2012), pp. 737-745, ISSN 1049-5258  [abs]
  231. Ding, M; He, L; Dunson, D; Carin, L, Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process., Bayesian analysis, vol. 7 no. 4 (December, 2012), pp. 813-840, ISSN 1931-6690 [Gateway.cgi], [doi]  [abs]
  232. Love, C; Sun, Z; Jima, D; Li, G; Zhang, J; Miles, R; Richards, KL; Dunphy, CH; Choi, WWL; Srivastava, G; Lugar, PL; Rizzieri, DA; Lagoo, AS; Bernal-Mizrachi, L; Mann, KP; Flowers, CR; Naresh, KN; Evens, AM; Chadburn, A; Gordon, LI; Czader, MB; Gill, JI; Hsi, ED; Greenough, A; Moffitt, AB; McKinney, M; Banerjee, A; Grubor, V; Levy, S; Dunson, DB; Dave, SS, The genetic landscape of mutations in Burkitt lymphoma., Nat Genet, vol. 44 no. 12 (December, 2012), pp. 1321-1325 [23143597], [doi]  [abs]
  233. Montagna, S; Tokdar, ST; Neelon, B; Dunson, DB, Bayesian latent factor regression for functional and longitudinal data., Biometrics, vol. 68 no. 4 (December, 2012), pp. 1064-1073 [23005895], [doi]  [abs]
  234. Hannah, LA; Dunson, DB, Ensemble methods for convex regression with applications to geometric programming based circuit design, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol. 1 (October, 2012), pp. 369-376  [abs]
  235. Shterev, ID; Dunson, DB, Bayesian watermark attacks, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol. 1 (October, 2012), pp. 695-702  [abs]
  236. Zhou, M; Li, L; Dunson, D; Carin, L, Lognormal and gamma mixed negative binomial regression, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol. 2 (October, 2012), pp. 1343-1350 [repository]  [abs]
  237. Bhattacharya, A; Dunson, D, Nonparametric Bayes classification and hypothesis testing on manifolds, Journal of Multivariate Analysis, vol. 111 (October, 2012), pp. 1-19, Elsevier BV, ISSN 0047-259X [doi]  [abs]
  238. Hua, Z; Dunson, DB; Gilmore, JH; Styner, MA; Zhu, H, Semiparametric Bayesian local functional models for diffusion tensor tract statistics., NeuroImage, vol. 63 no. 1 (October, 2012), pp. 460-474, ISSN 1053-8119 [doi]  [abs]
  239. Bhattacharya, A; Dunson, DB, Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds., Annals of the Institute of Statistical Mathematics, vol. 64 no. 4 (August, 2012), pp. 687-714, ISSN 0020-3157 [doi]  [abs]
  240. Bhattacharya, A; Dunson, DB, Simplex Factor Models for Multivariate Unordered Categorical Data., Journal of the American Statistical Association, vol. 107 no. 497 (March, 2012), pp. 362-377, ISSN 0162-1459 [doi]  [abs]
  241. Dunson, DB; Bhattacharya, A; Griffin, JE, Nonparametric Bayes Regression and Classification Through Mixtures of Product Kernels, in Bayesian Statistics 9, vol. 9780199694587 (January, 2012), pp. 145-164, Oxford University Press, ISBN 9780199694587 [doi]  [abs]
  242. Zhou, M; Chen, H; Paisley, J; Ren, L; Li, L; Xing, Z; Dunson, D; Sapiro, G; Carin, L, Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 21 no. 1 (January, 2012), pp. 130-144 [21693421], [doi]  [abs]
  243. Dunson, DB; Xing, C, Nonparametric Bayes Modeling of Multivariate Categorical Data., Journal of the American Statistical Association, vol. 104 no. 487 (January, 2012), pp. 1042-1051, ISSN 0162-1459 [doi]  [abs]
  244. Carin, L; Hero, A; Lucas, J; Dunson, D; Chen, M; Heñao, R; Tibau-Puig, A; Zaas, A; Woods, CW; Ginsburg, GS, High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections., IEEE Signal Process Mag, vol. 29 no. 1 (January, 2012), pp. 108-123 [doi]
  245. Fyshe, A; Fox, E; Dunson, D; Mitchell, T, Hierarchical latent dictionaries for models of brain activation, Journal of Machine Learning Research, vol. 22 (January, 2012), pp. 409-421  [abs]
  246. Zhou, M; Hannah, LA; Dunson, DB; Carin, L, Beta-negative binomial process and poisson factor analysis, Journal of Machine Learning Research, vol. 22 (January, 2012), pp. 1462-1471  [abs]
  247. Gordon, GJ; Dunson, D, Preface to the proceedings of AISTATS 2011, Journal of Machine Learning Research, vol. 15 (December, 2011), pp. 1-2, ISSN 1532-4435
  248. Canale, A; Dunson, DB, Bayesian Kernel Mixtures for Counts., Journal of the American Statistical Association, vol. 106 no. 496 (December, 2011), pp. 1528-1539, ISSN 0162-1459 [doi]  [abs]
  249. Zhang, XX; Dunson, DB; Carin, L, Hierarchical topic modeling for analysis of time-evolving personal choices, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 (December, 2011)  [abs]
  250. Ren, L; Wang, Y; Dunson, D; Carin, L, The kernel beta process, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 (December, 2011)  [abs]
  251. Zhou, M; Carin, L; Yang, H; Dunson, D; Sapiro, G, Dependent hierarchical beta process for image interpolation and denoising, Journal of Machine Learning Research, vol. 15 (December, 2011), pp. 883-891, ISSN 1532-4435  [abs]
  252. Hannah, LA; Dunson, DB, Approximate dynamic programming for storage problems, Proceedings of the 28th International Conference on Machine Learning, ICML 2011 (October, 2011), pp. 337-344  [abs]
  253. Chen, B; Polatkan, G; Sapiro, G; Dunson, DB; Carin, L, The hierarchical beta process for convolutional factor analysis and deep learning, Proceedings of the 28th International Conference on Machine Learning, ICML 2011 (October, 2011), pp. 361-368  [abs]
  254. Yang, H; O'Brien, S; Dunson, DB, Nonparametric Bayes Stochastically Ordered Latent Class Models., J Am Stat Assoc, vol. 106 no. 495 (September, 2011), pp. 807-817, ISSN 0162-1459 [22505787], [doi]  [abs]
  255. Wang, L; Dunson, DB, Semiparametric bayes' proportional odds models for current status data with underreporting., Biometrics, vol. 67 no. 3 (September, 2011), pp. 1111-1118, ISSN 0006-341X [doi]  [abs]
  256. Wang, L; Dunson, DB, Bayesian isotonic density regression., Biometrika, vol. 98 no. 3 (September, 2011), pp. 537-551, ISSN 0006-3444 [doi]  [abs]
  257. Zhou, M; Yang, H; Sapiro, G; Dunson, D; Carin, L, Covariate-dependent dictionary learning and sparse coding, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (August, 2011), pp. 5824-5827, IEEE, ISSN 1520-6149 [doi]  [abs]
  258. Armagan, A; Dunson, D, Sparse variational analysis of linear mixed models for large data sets, Statistics and Probability Letters, vol. 81 no. 8 (August, 2011), pp. 1056-1062, Elsevier BV, ISSN 0167-7152 [doi]  [abs]
  259. Xing, C; Dunson, DB, Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions., PLoS computational biology, vol. 7 no. 7 (July, 2011), pp. e1002110 [21829334], [doi]  [abs]
  260. Bhattacharya, A; Dunson, DB, Sparse Bayesian infinite factor models., Biometrika, vol. 98 no. 2 (June, 2011), pp. 291-306, ISSN 0006-3444 [23049129], [doi]  [abs]
  261. Liu, F; Dunson, D; Zou, F, High-dimensional variable selection in meta-analysis for censored data., Biometrics, vol. 67 no. 2 (June, 2011), pp. 504-512, ISSN 0006-341X [doi]  [abs]
  262. Page, GL; Dunson, DB, Bayesian Local Contamination Models for Multivariate Outliers., Technometrics : a journal of statistics for the physical, chemical, and engineering sciences, vol. 53 no. 2 (May, 2011), pp. 152-162, ISSN 0040-1706 [doi]  [abs]
  263. Crandell, JL; Dunson, DB, Posterior simulation across nonparametric models for functional clustering, Sankhya B, vol. 73 no. 1 (May, 2011), pp. 42-61, Springer Nature, ISSN 0972-7671 [doi]  [abs]
  264. Dzirasa, K; McGarity, DL; Bhattacharya, A; Kumar, S; Takahashi, JS; Dunson, D; McClung, CA; Nicolelis, MAL, Impaired limbic gamma oscillatory synchrony during anxiety-related behavior in a genetic mouse model of bipolar mania., J Neurosci, vol. 31 no. 17 (April, 2011), pp. 6449-6456 [21525286], [doi]  [abs]
  265. Rodríguez, A; Dunson, DB, Nonparametric Bayesian models through probit stick-breaking processes., Bayesian analysis, vol. 6 no. 1 (March, 2011), pp. 145-178, ISSN 1936-0975 [doi]  [abs]
  266. Pati, D; Reich, BJ; Dunson, DB, Bayesian geostatistical modelling with informative sampling locations., Biometrika, vol. 98 no. 1 (March, 2011), pp. 35-48, ISSN 0006-3444 [doi]  [abs]
  267. Chen, M; Silva, J; Paisley, J; Wang, C; Dunson, D; Carin, L, Erratum: Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: Algorithm and performance bounds (IEEE Transactions Signal Processing (2011)) 58,12 (6140-6155)), IEEE Transactions on Signal Processing, vol. 59 no. 3 (March, 2011), pp. 1329, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]
  268. Carin, L; Baraniuk, RG; Cevher, V; Dunson, D; Jordan, MI; Sapiro, G; Wakin, MB, Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements., IEEE signal processing magazine, vol. 28 no. 2 (March, 2011), pp. 39-51, ISSN 1053-5888 [doi]  [abs]
  269. Reich, BJ; Fuentes, M; Dunson, DB, Bayesian Spatial Quantile Regression., Journal of the American Statistical Association, vol. 106 no. 493 (March, 2011), pp. 6-20, ISSN 0162-1459 [repository], [doi]  [abs]
  270. Shi, M; Dunson, DB, Bayesian Variable Selection via Particle Stochastic Search., Statistics & probability letters, vol. 81 no. 2 (February, 2011), pp. 283-291, ISSN 0167-7152 [21278860], [doi]  [abs]
  271. Chung, Y; Dunson, DB, The local Dirichlet process., Annals of the Institute of Statistical Mathematics, vol. 63 no. 1 (February, 2011), pp. 59-80, ISSN 0020-3157 [doi]  [abs]
  272. Ren, L; Du, L; Carin, L; Dunson, DB, Logistic Stick-Breaking Process., Journal of machine learning research : JMLR, vol. 12 no. Jan (January, 2011), pp. 203-239, ISSN 1532-4435  [abs]
  273. Chen, H; Dunson, DB; Carin, L, Topic Modeling with Nonparametric Markov Tree., Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, vol. 2011 (January, 2011), pp. 377-384  [abs]
  274. Zhang, X; Dunson, DB; Carin, L, Tree-Structured Infinite Sparse Factor Model., Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, vol. 2011 (January, 2011), pp. 785-792  [abs]
  275. Chen, M; Zaas, A; Woods, C; Ginsburg, GS; Lucas, J; Dunson, D; Carin, L, Predicting Viral Infection From High-Dimensional Biomarker Trajectories., J Am Stat Assoc, vol. 106 no. 496 (January, 2011), pp. 1259-1279, ISSN 0162-1459 [doi]  [abs]
  276. Armagan, A; Dunson, DB; Clyde, M, Generalized beta mixtures of Gaussians, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 (January, 2011), ISBN 9781618395993  [abs]
  277. Ren, L; Wang, Y; Dunson, D; Carin, L, The kernel beta process, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 (January, 2011), ISBN 9781618395993  [abs]
  278. Zhang, XX; Dunson, DB; Carin, L, Hierarchical topic modeling for analysis of time-evolving personal choices, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 (January, 2011), ISBN 9781618395993  [abs]
  279. Armagan, A; Dunson, DB; Clyde, MA, Generalized Beta Mixtures of Gaussians, edited by Shawe-Taylor, J; Zemel, RS; Bartlett, PL, Advances in Neural Information Processing Systems, vol. 24 (2011), pp. 523-531, Neural Information Processing Systems Foundation, Inc, ISBN 9781618395993  [abs]
  280. Zhou, M; Wang, C; Chen, M; Paisley, J; Dunson, D; Carin, L, Nonparametric bayesian matrix completion, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010 (December, 2010), pp. 213-216, IEEE [doi]  [abs]
  281. Gordon, GJ; Dunson, D, Preface to the Proceedings of AISTATS 2011, Journal of Machine Learning Research, vol. 9 (December, 2010), pp. 1-2, ISSN 1532-4435
  282. Wang, E; Liu, D; Silva, J; Dunson, D; Carin, L, Joint analysis of time-evolving binary matrices and associated documents, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010 (December, 2010)  [abs]
  283. Chen, M; Silva, J; Paisley, J; Wang, C; Dunson, D; Carin, L, Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds., IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol. 58 no. 12 (December, 2010), pp. 6140-6155, ISSN 1053-587X [doi]  [abs]
  284. Bhattacharya, A; Dunson, DB, Nonparametric Bayesian density estimation on manifolds with applications to planar shapes., Biometrika, vol. 97 no. 4 (December, 2010), pp. 851-865, ISSN 0006-3444 [22822255], [doi]  [abs]
  285. Chen, B; Chen, M; Paisley, J; Zaas, A; Woods, C; Ginsburg, GS; Hero, A; Lucas, J; Dunson, D; Carin, L, Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies., BMC Bioinformatics, vol. 11 (November, 2010), pp. 552 [21062443], [doi]  [abs]
  286. Blei, D; Carin, L; Dunson, D, Probabilistic Topic Models: A focus on graphical model design and applications to document and image analysis., IEEE signal processing magazine, vol. 27 no. 6 (November, 2010), pp. 55-65, ISSN 1053-5888 [doi]  [abs]
  287. Dunson, DB, MULTIVARIATE KERNEL PARTITION PROCESS MIXTURES., Statistica Sinica, vol. 20 no. 4 (October, 2010), pp. 1395-1422, ISSN 1017-0405  [abs]
  288. Yang, M; Dunson, DB; Baird, D, Semiparametric Bayes hierarchical models with mean and variance constraints., Computational statistics & data analysis, vol. 54 no. 9 (September, 2010), pp. 2172-2186, ISSN 0167-9473 [doi]  [abs]
  289. Cai, B; Dunson, DB; Stanford, JB, Dynamic model for multivariate markers of fecundability., Biometrics, vol. 66 no. 3 (September, 2010), pp. 905-913, ISSN 0006-341X [doi]  [abs]
  290. Stanford, JB; Mikolajczyk, RT; Dunson, DB, Are Chinese people really more fertile?, Fertility and sterility, vol. 94 no. 3 (August, 2010), pp. e58, ISSN 0015-0282 [doi]
  291. Bornkamp, B; Ickstadt, K; Dunson, D, Stochastically ordered multiple regression., Biostatistics (Oxford, England), vol. 11 no. 3 (July, 2010), pp. 419-431, ISSN 1465-4644 [doi]  [abs]
  292. Park, JH; Dunson, DB, Bayesian generalized product partition model, Statistica Sinica, vol. 20 no. 3 (July, 2010), pp. 1203-1226, ISSN 1017-0405 [repository]  [abs]
  293. Maclehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage., Biometrics, vol. 66 no. 2 (June, 2010), pp. 455-462, ISSN 0006-341X [doi]  [abs]
  294. Ren, L; Dunson, D; Lindroth, S; Carin, L, Dynamic nonparametric bayesian models for analysis of music, Journal of the American Statistical Association, vol. 105 no. 490 (June, 2010), pp. 458-472, Informa UK Limited, ISSN 0162-1459 [repository], [doi]  [abs]
  295. Rodríguez, A; Dunson, DB; Gelfand, AE, Latent Stick-Breaking Processes., Journal of the American Statistical Association, vol. 105 no. 490 (April, 2010), pp. 647-659, ISSN 0162-1459 [23559690], [doi]  [abs]
  296. Wang, C; Liao, X; Carin, L; Dunson, DB, Classification with Incomplete Data Using Dirichlet Process Priors., Journal of machine learning research : JMLR, vol. 11 (March, 2010), pp. 3269-3311, ISSN 1532-4435  [abs]
  297. Mitra, R; Dunson, D, Two-level stochastic search variable selection in GLMs with missing predictors., The international journal of biostatistics, vol. 6 no. 1 (January, 2010), pp. Article-33, ISSN 1557-4679 [doi]  [abs]
  298. Wang, E; Liu, D; Silva, J; Dunson, D; Carin, L, Joint analysis of time-evolving binary matrices and associated documents, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010 (January, 2010), ISBN 9781617823800  [abs]
  299. Dunson, DB, Comment on article by Craigmile et al., Bayesian Analysis, vol. 4 no. 1 (December, 2009), pp. 41-44, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]
  300. Chung, Y; Dunson, DB, Nonparametric Bayes Conditional Distribution Modeling With Variable Selection., Journal of the American Statistical Association, vol. 104 no. 488 (December, 2009), pp. 1646-1660, ISSN 0162-1459 [repository], [doi]  [abs]
  301. Ren, L; Dunson, DB; Lindroth, S; Carin, L, Music analysis with a Bayesian dynamic model, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (September, 2009), pp. 1681-1684, IEEE, ISSN 1520-6149 [doi]  [abs]
  302. Wang, C; An, Q; Carin, L; Dunson, DB, Multi-task classification with infinite local experts, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (September, 2009), pp. 1569-1572, IEEE, ISSN 1520-6149 [doi]  [abs]
  303. Scarpa, B; Dunson, DB, Bayesian hierarchical functional data analysis via contaminated informative priors., Biometrics, vol. 65 no. 3 (September, 2009), pp. 772-780, ISSN 0006-341X [doi]  [abs]
  304. Baird, DD; Travlos, G; Wilson, R; Dunson, DB; Hill, MC; D'Aloisio, AA; London, SJ; Schectman, JM, Uterine leiomyomata in relation to insulin-like growth factor-I, insulin, and diabetes., Epidemiology (Cambridge, Mass.), vol. 20 no. 4 (July, 2009), pp. 604-610, ISSN 1044-3983 [doi]  [abs]
  305. Ghosh, J; Dunson, DB, Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor Analysis., Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 18 no. 2 (June, 2009), pp. 306-320, ISSN 1061-8600 [doi]  [abs]
  306. Dunson, DB, Bayesian nonparametric hierarchical modeling., Biometrical journal. Biometrische Zeitschrift, vol. 51 no. 2 (April, 2009), pp. 273-284 [19358217], [doi]  [abs]
  307. MacLehose, RF; Dunson, DB, Nonparametric Bayes kernel-based priors for functional data analysis, Statistica Sinica, vol. 19 no. 2 (April, 2009), pp. 611-629, ISSN 1017-0405  [abs]
  308. Ji, S; Dunson, D; Carin, L, Multitask compressive sensing, IEEE Transactions on Signal Processing, vol. 57 no. 1 (January, 2009), pp. 92-106, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]  [abs]
  309. Rodríguez, A; Dunson, DB; Gelfand, AE, Bayesian Nonparametric Functional Data Analysis Through Density Estimation., Biometrika, vol. 96 no. 1 (January, 2009), pp. 149-162, ISSN 0006-3444 [doi]  [abs]
  310. Du, L; Ren, L; Dunson, DB; Carin, L, A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation., Advances in neural information processing systems, vol. 2009 (January, 2009), pp. 486-494  [abs]
  311. Rodriguez, A; Dunson, DB; Taylor, J, Bayesian hierarchically weighted finite mixture models for samples of distributions., Biostatistics (Oxford, England), vol. 10 no. 1 (January, 2009), pp. 155-171, ISSN 1465-4644 [doi]  [abs]
  312. Bigelow, JL; Dunson, DB, Bayesian semiparametric joint models for functional predictors., Journal of the American Statistical Association, vol. 104 no. 485 (January, 2009), pp. 26-36, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  313. Dunson, DB, Nonparametric Bayes local partition models for random effects., Biometrika, vol. 96 no. 2 (January, 2009), pp. 249-262, ISSN 0006-3444 [doi]  [abs]
  314. Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets, Statistics & Probability Letters (2009)
  315. Wang, L; Dunson, DB, Semiparametric Bayes multiple testing: Applications to tumor data., Biometrics, vol. 66 no. 2 (2009), pp. 493-501, ISSN 0006-341X [doi]  [abs]
  316. Wang, L; Dunson, DB, Fast Bayesian inference in Dirichlet process mixture models, Journal of Computational & Graphical Statistics, vol. 20 no. 1 (2009), pp. 196-216, Informa UK Limited, ISSN 1061-8600 [doi]  [abs]
  317. Dunson, DB; Peddada, SD, Bayesian nonparametric inference on stochastic ordering., Biometrika, vol. 95 no. 4 (December, 2008), pp. 859-874, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  318. Rodríguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process: Rejoinder, Journal of the American Statistical Association, vol. 103 no. 483 (September, 2008), pp. 1153-1154, Informa UK Limited, ISSN 0162-1459 [doi]
  319. Ni, K; Paisley, J; Carin, L; Dunson, D, Multi-task learning for analyzing and sorting large databases of sequential data, IEEE Transactions on Signal Processing, vol. 56 no. 8 II (August, 2008), pp. 3918-3931, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]  [abs]
  320. Elliott, L; Henderson, J; Northstone, K; Chiu, GY; Dunson, D; London, SJ, Prospective study of breast-feeding in relation to wheeze, atopy, and bronchial hyperresponsiveness in the Avon Longitudinal Study of Parents and Children (ALSPAC)., The Journal of allergy and clinical immunology, vol. 122 no. 1 (July, 2008), pp. 49-54.e3, ISSN 0091-6749 [doi]  [abs]
  321. Dunson, DB; Herring, AH; Engel, SM, Bayesian selection and clustering of polymorphisms in functionally related genes, Journal of the American Statistical Association, vol. 103 no. 482 (June, 2008), pp. 534-546, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  322. Pennell, ML; Dunson, DB, Nonparametric bayes testing of changes in a response distribution with an ordinal predictor., Biometrics, vol. 64 no. 2 (June, 2008), pp. 413-423, ISSN 0006-341X [doi]  [abs]
  323. Dunson, DB; Park, JH, Kernel stick-breaking processes, Biometrika, vol. 95 no. 2 (June, 2008), pp. 307-323, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  324. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 103 no. 481 (March, 2008), pp. 40-41, Informa UK Limited, ISSN 0162-1459 [doi]
  325. Dunson, DB; Xue, Y; Carin, L, The matrix stick-breaking process: Flexible Bayes meta-analysis, Journal of the American Statistical Association, vol. 103 no. 481 (March, 2008), pp. 317-327, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  326. Rodríguez, A; Dunson, DB; Gelfand, AE, The nested dirichlet process, Journal of the American Statistical Association, vol. 103 no. 483 (January, 2008), pp. 1131-1154, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  327. Qi, Y; Liu, D; Dunson, D; Carin, L, Multi-task compressive sensing with dirichlet process priors, Proceedings of the 25th International Conference on Machine Learning (January, 2008), pp. 768-775 [doi]  [abs]
  328. An, Q; Wang, C; Shterev, I; Wang, E; Carin, L; Dunson, DB, Hierarchical kernel stick-breaking process for multi-task image analysis, Proceedings of the 25th International Conference on Machine Learning (January, 2008), pp. 17-24 [doi]  [abs]
  329. Ren, L; Dunson, DB; Carin, L, The dynamic hierarchical Dirichlet process, Proceedings of the 25th International Conference on Machine Learning (January, 2008), pp. 824-831 [doi]  [abs]
  330. Dunson, DB; Herring, A; Siega-Riz, AM, Bayesian Inference on Changes in Response Densities over Predictor Clusters., Journal of the American Statistical Association, vol. 103 no. 484 (January, 2008), pp. 1508-1517, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  331. R. Mitra and D.B. Dunson, Two level stochastic search variable selection in GLMs with missing predictors (2008)
  332. Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation, Biometrika, vol. 96 (2008), pp. 149-162
  333. Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion), Journal of the American Statistical Association (2008)
  334. Yang, M; Dunson, DB, Bayesian semiparametric structural equation models with latent variables, Psychometrika, vol. 75 no. 4 (2008), pp. 675-693, Springer Nature, ISSN 0033-3123 [doi]  [abs]
  335. Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling (December, 2007), pp. 163-188, Elsevier [doi]  [abs]
  336. Cai, B; Dunson, DB, Bayesian multivariate isotonic regression splines: Applications to carcinogenicity studies, Journal of the American Statistical Association, vol. 102 no. 480 (December, 2007), pp. 1158-1171, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  337. Dunson, DB, Bayesian methods for latent trait modelling of longitudinal data., Statistical methods in medical research, vol. 16 no. 5 (October, 2007), pp. 399-415, ISSN 0962-2802 [doi]  [abs]
  338. Scarpa, B; Dunson, DB; Giacchi, E, Bayesian selection of optimal rules for timing intercourse to conceive by using calendar and mucus., Fertility and sterility, vol. 88 no. 4 (October, 2007), pp. 915-924, ISSN 0015-0282 [doi]  [abs]
  339. Pennell, ML; Dunson, DB, Fitting semiparametric random effects models to large data sets., Biostatistics (Oxford, England), vol. 8 no. 4 (October, 2007), pp. 821-834, ISSN 1465-4644 [doi]  [abs]
  340. Bigelow, JL; Dunson, DB, Bayesian adaptive regression splines for hierarchical data., Biometrics, vol. 63 no. 3 (September, 2007), pp. 724-732, ISSN 0006-341X [17403106], [doi]  [abs]
  341. Xue, Y; Dunson, D; Carin, L, The matrix stick-breaking process for flexible multi-task learning, ACM International Conference Proceeding Series, vol. 227 (August, 2007), pp. 1063-1070, ACM Press [doi]  [abs]
  342. Ni, K; Carin, L; Dunson, D, Multi-task learning for sequential data via iHMMs and the nested Dirichlet process, ACM International Conference Proceeding Series, vol. 227 (August, 2007), pp. 689-696, ACM Press [doi]  [abs]
  343. Stanford, JB; Dunson, DB, Effects of sexual intercourse patterns in time to pregnancy studies., American journal of epidemiology, vol. 165 no. 9 (May, 2007), pp. 1088-1095, ISSN 0002-9262 [doi]  [abs]
  344. Scarpa, B; Dunson, DB, Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy., Statistics in medicine, vol. 26 no. 9 (April, 2007), pp. 1920-1936, ISSN 0277-6715 [doi]  [abs]
  345. Dunson, DB; Pillai, N; Park, JH, Bayesian density regression, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 69 no. 2 (April, 2007), pp. 163-183, WILEY, ISSN 1369-7412 [doi]  [abs]
  346. Dunson, DB, Empirical bayes density regression, Statistica Sinica, vol. 17 no. 2 (April, 2007), pp. 481-504, ISSN 1017-0405  [abs]
  347. MacLehose, RF; Dunson, DB; Herring, AH; Hoppin, JA, Bayesian methods for highly correlated exposure data., Epidemiology (Cambridge, Mass.), vol. 18 no. 2 (March, 2007), pp. 199-207, ISSN 1044-3983 [doi]  [abs]
  348. Baird, DD; Dunson, DB; Hill, MC; Cousins, D; Schectman, JM, Association of physical activity with development of uterine leiomyoma., American journal of epidemiology, vol. 165 no. 2 (January, 2007), pp. 157-163, ISSN 0002-9262 [doi]  [abs]
  349. B. Cai and D.B. Dunson, Variable selection in nonparametric random effects models, submitted (2007)
  350. L.Wang and D.B. Dunson, Bayesian isotonic density regression (2007)
  351. Kinney, S; Dunson, DB, Fixed and random effects selection in linear and logistic models, Biometrics, vol. 63 no. 3 (2007), pp. 690-698, ISSN 0006-341X [17403104], [doi]  [abs]
  352. Pennell, ML; Dunson, DB, Bayesian semiparametric dynamic frailty models for multiple event time data., Biometrics, vol. 62 no. 4 (December, 2006), pp. 1044-1052, ISSN 0006-341X [html], [doi]  [abs]
  353. Stanford, JB; Dunson, DB, Foreword. Expanding Methodologies for Capturing Day-Specific Probabilities of Conception., Paediatric and perinatal epidemiology, vol. 20 Suppl 1 (November, 2006), pp. 1-2, ISSN 0269-5022 [doi]
  354. Scarpa, B; Dunson, DB, Bayesian selection of predictors of conception probabilities across the menstrual cycle., Paediatric and perinatal epidemiology, vol. 20 Suppl 1 no. SUPPL. 1 (November, 2006), pp. 30-37, ISSN 0269-5022 [doi]  [abs]
  355. Dunson, DB, Bayesian dynamic modeling of latent trait distributions., Biostatistics (Oxford, England), vol. 7 no. 4 (October, 2006), pp. 551-568, ISSN 1465-4644 [doi]  [abs]
  356. O'Brien, SM; Kupper, LL; Dunson, DB, Performance of tests of association in misspecified generalized linear models, Journal of Statistical Planning and Inference, vol. 136 no. 9 (September, 2006), pp. 3090-3100, Elsevier BV, ISSN 0378-3758 [doi]  [abs]
  357. Cai, B; Dunson, DB, Bayesian covariance selection in generalized linear mixed models., Biometrics, vol. 62 no. 2 (June, 2006), pp. 446-457, ISSN 0006-341X [html], [doi]  [abs]
  358. Dunson, DB, Special issue of statistical methods in medical research on reproductive studies, Statistical Methods in Medical Research, vol. 15 no. 2 (April, 2006), pp. 91-92, SAGE Publications, ISSN 0962-2802 [doi]
  359. Scarpa, B; Dunson, DB; Colombo, B, Cervical mucus secretions on the day of intercourse: an accurate marker of highly fertile days., European journal of obstetrics, gynecology, and reproductive biology, vol. 125 no. 1 (March, 2006), pp. 72-78 [doi]  [abs]
  360. Baird, DD; Kesner, JS; Dunson, DB, Luteinizing hormone in premenopausal women may stimulate uterine leiomyomata development., Journal of the Society for Gynecologic Investigation, vol. 13 no. 2 (February, 2006), pp. 130-135, ISSN 1071-5576 [doi]  [abs]
  361. Chen, Z; Dunson, DB, The authors replied as follows [2], Biometrics, vol. 62 no. 2 (January, 2006), pp. 623-624, WILEY, ISSN 0006-341X [doi]
  362. Dunson, DB, Bayesian Biostatistics, Handbook of Statistics, vol. 25 (December, 2005), pp. 743-761, Elsevier, ISSN 0169-7161 [doi]  [abs]
  363. Hans, C; Dunson, DB, Bayesian inferences on umbrella orderings., Biometrics, vol. 61 no. 4 (December, 2005), pp. 1018-1026, ISSN 0006-341X [16401275], [doi]  [abs]
  364. Law, DCG; Klebanoff, MA; Brock, JW; Dunson, DB; Longnecker, MP, Maternal serum levels of polychlorinated biphenyls and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) and time to pregnancy., American journal of epidemiology, vol. 162 no. 6 (September, 2005), pp. 523-532 [doi]  [abs]
  365. Peddada, SD; Dunson, DB; Tan, X, Estimation of order-restricted means from correlated data, Biometrika, vol. 92 no. 3 (September, 2005), pp. 703-715, Oxford University Press (OUP) [doi]  [abs]
  366. Gueorguieva, RV, Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes., Biometrics, vol. 61 no. 3 (September, 2005), pp. 862-866, ISSN 0006-341X [doi]  [abs]
  367. Gunn, LH; Dunson, DB, A transformation approach for incorporating monotone or unimodal constraints., Biostatistics (Oxford, England), vol. 6 no. 3 (July, 2005), pp. 434-449, ISSN 1465-4644 [doi]  [abs]
  368. Dunson, DB; Herring, AH, Bayesian model selection and averaging in additive and proportional hazards models., Lifetime data analysis, vol. 11 no. 2 (June, 2005), pp. 213-232 [doi]  [abs]
  369. Dunson, DB, Bayesian semiparametric isotonic regression for count data, Journal of the American Statistical Association, vol. 100 no. 470 (June, 2005), pp. 618-627, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  370. Dunson, DB; Taylor, JA, Approximate Bayesian inference for quantites, Journal of Nonparametric Statistics, vol. 17 no. 3 (April, 2005), pp. 385-400, Informa UK Limited [doi]  [abs]
  371. Dunson, DB; Bigelow, JL; Colombo, B, Reduced fertilization rates in older men when cervical mucus is suboptimal., Obstetrics and gynecology, vol. 105 no. 4 (April, 2005), pp. 788-793, ISSN 0029-7844 [doi]  [abs]
  372. Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities., Biometrics, vol. 61 no. 1 (March, 2005), pp. 126-133 [doi]  [abs]
  373. Longnecker, MP; Klebanoff, MA; Dunson, DB; Guo, X; Chen, Z; Zhou, H; Brock, JW, Maternal serum level of the DDT metabolite DDE in relation to fetal loss in previous pregnancies., Environmental research, vol. 97 no. 2 (February, 2005), pp. 127-133, ISSN 0013-9351 [doi]  [abs]
  374. Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes., Biostatistics (Oxford, England), vol. 6 no. 1 (January, 2005), pp. 11-25 [doi]  [abs]
  375. Herring, AH; Dunson, DB; Dole, N, Modeling the effects of a bidirectional latent predictor from multivariate questionnaire data., Biometrics, vol. 60 no. 4 (December, 2004), pp. 926-935, ISSN 0006-341X [doi]  [abs]
  376. Dunson, DB; Holloman, C; Calder, C; Gunn, LH, Bayesian modeling of multiple lesion onset and growth from interval-censored data., Biometrics, vol. 60 no. 3 (September, 2004), pp. 676-683, ISSN 0006-341X [doi]  [abs]
  377. O'Brien, SM; Dunson, DB, Bayesian multivariate logistic regression., Biometrics, vol. 60 no. 3 (September, 2004), pp. 739-746, ISSN 0006-341X [15339297], [doi]  [abs]
  378. Slama, R; Ducot, B; Keiding, N; Bouyer, J, Studying human fertility and environmental exposures., Environmental health perspectives, vol. 112 no. 11 (August, 2004), pp. A604, ISSN 0091-6765 [doi]
  379. Wilcox, AJ; Baird, DD; Dunson, DB; McConnaughey, DR; Kesner, JS; Weinberg, CR, On the frequency of intercourse around ovulation: evidence for biological influences., Human reproduction (Oxford, England), vol. 19 no. 7 (July, 2004), pp. 1539-1543, ISSN 0268-1161 [15190016], [doi]  [abs]
  380. Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis., Biometrics, vol. 60 no. 2 (June, 2004), pp. 398-406 [doi]  [abs]
  381. Chen, Z; Dunson, DB, Bayesian estimation of survival functions under stochastic precedence., Lifetime data analysis, vol. 10 no. 2 (June, 2004), pp. 159-173 [doi]  [abs]
  382. Dunson, DB; Chen, Z, Selecting factors predictive of heterogeneity in multivariate event time data., Biometrics, vol. 60 no. 2 (June, 2004), pp. 352-358 [doi]  [abs]
  383. Bigelow, JL; Dunson, DB; Stanford, JB; Ecochard, R; Gnoth, C; Colombo, B, Mucus observations in the fertile window: a better predictor of conception than timing of intercourse., Human reproduction (Oxford, England), vol. 19 no. 4 (April, 2004), pp. 889-892 [doi]  [abs]
  384. Tingen, C; Stanford, JB; Dunson, DB, Methodologic and statistical approaches to studying human fertility and environmental exposure., Environmental health perspectives, vol. 112 no. 1 (January, 2004), pp. 87-93 [doi]  [abs]
  385. Dunson, DB; Baird, DD; Colombo, B, Increased infertility with age in men and women., Obstetrics and gynecology, vol. 103 no. 1 (January, 2004), pp. 51-56 [doi]  [abs]
  386. Trouba, K; Nyska, A; Styblo, M; Dunson, D; Lomnitski, L; Grossman, S; Moser, G; Suttie, A; Patterson, R; Walton, F; Germolec, D, Effect of antioxidants on the papilloma response and liver glutathione modulation mediated by arsenic in tg.ac transgenic mice, Arsenic Exposure and Health Effects V (December, 2003), pp. 283-293, Elsevier [doi]  [abs]
  387. Dunson, DB; Herring, AH, Bayesian inferences in the Cox model for order-restricted hypotheses., Biometrics, vol. 59 no. 4 (December, 2003), pp. 916-923 [doi]  [abs]
  388. Chen, Z; Dunson, DB, Random effects selection in linear mixed models., Biometrics, vol. 59 no. 4 (December, 2003), pp. 762-769 [doi]  [abs]
  389. Dunson, DB; Chen, Z; Harry, J, A Bayesian approach for joint modeling of cluster size and subunit-specific outcomes., Biometrics, vol. 59 no. 3 (September, 2003), pp. 521-530 [doi]  [abs]
  390. Dunson, DB, Dynamic Latent Trait Models for Multidimensional Longitudinal Data, Journal of the American Statistical Association, vol. 98 no. 463 (September, 2003), pp. 555-563, Informa UK Limited [doi]  [abs]
  391. Stanford, JB; Smith, KR; Dunson, DB, Vulvar mucus observations and the probability of pregnancy., Obstetrics and gynecology, vol. 101 no. 6 (June, 2003), pp. 1285-1293 [doi]  [abs]
  392. Dunson, DB; Watson, M; Taylor, JA, Bayesian latent variable models for median regression on multiple outcomes., Biometrics, vol. 59 no. 2 (June, 2003), pp. 296-304 [doi]  [abs]
  393. Dunson, DB; Neelon, B, Bayesian inference on order-constrained parameters in generalized linear models., Biometrics, vol. 59 no. 2 (June, 2003), pp. 286-295 [doi]  [abs]
  394. Dunson, DB, Incorporating heterogeneous intercourse records into time to pregnancy models, Mathematical Population Studies, vol. 10 no. 2 (April, 2003), pp. 127-143, Informa UK Limited, ISSN 0889-8480 [doi]  [abs]
  395. Dunson, DB; Colombo, B, Bayesian modeling of markers of day-specific fertility, Journal of the American Statistical Association, vol. 98 no. 461 (March, 2003), pp. 28-37, Informa UK Limited [doi]  [abs]
  396. Dunson, DB; Chulada, P; Arbes, SJ, Bayesian modeling of time-varying and waning exposure effects., Biometrics, vol. 59 no. 1 (March, 2003), pp. 83-91 [doi]  [abs]
  397. Baird, DD; Dunson, DB, Why is parity protective for uterine fibroids?, Epidemiology (Cambridge, Mass.), vol. 14 no. 2 (March, 2003), pp. 247-250 [doi]  [abs]
  398. Chulada, PC; Arbes, SJ; Dunson, D; Zeldin, DC, Breast-feeding and the prevalence of asthma and wheeze in children: analyses from the Third National Health and Nutrition Examination Survey, 1988-1994., The Journal of allergy and clinical immunology, vol. 111 no. 2 (February, 2003), pp. 328-336 [doi]  [abs]
  399. Baird, DD; Dunson, DB; Hill, MC; Cousins, D; Schectman, JM, High cumulative incidence of uterine leiomyoma in black and white women: ultrasound evidence., American journal of obstetrics and gynecology, vol. 188 no. 1 (January, 2003), pp. 100-107 [doi]  [abs]
  400. Dunson, B; Baird, DD, Bayesian modeling of incidence and progression of disease from cross-sectional data., Biometrics, vol. 58 no. 4 (December, 2002), pp. 813-822 [doi]  [abs]
  401. Zeise, L; Hattis, D; Andersen, M; Bailer, AJ; Bayard, S; Chen, C; Clewell, H; Conolly, R; Crump, K; Dunson, D; Finkel, A; Haber, L; Jarabek, AM; Kodell, R; Krewski, D; Thomas, D; Thorslund, T; Wassell, JT, Improving risk Assessment: Research opportunities in dose response modeling to improve risk assessment, Human and Ecological Risk Assessment, vol. 8 no. 6 (October, 2002), pp. 1421-1444, Informa UK Limited, ISSN 1080-7039 [doi]  [abs]
  402. Mikolajczyk, R, TwoDay Algorithm in predicting fertile time., Human reproduction (Oxford, England), vol. 17 no. 7 (July, 2002), pp. 1925, ISSN 0268-1161 [doi]
  403. Tiano, HF; Loftin, CD; Akunda, J; Lee, CA; Spalding, J; Sessoms, A; Dunson, DB; Rogan, EG; Morham, SG; Smart, RC; Langenbach, R, Deficiency of either cyclooxygenase (COX)-1 or COX-2 alters epidermal differentiation and reduces mouse skin tumorigenesis., Cancer research, vol. 62 no. 12 (June, 2002), pp. 3395-3401  [abs]
  404. Dunson, DB; Colombo, B; Baird, DD, Changes with age in the level and duration of fertility in the menstrual cycle., Human reproduction (Oxford, England), vol. 17 no. 5 (May, 2002), pp. 1399-1403, ISSN 0268-1161 [doi]  [abs]
  405. Dunson, DB; Dinse, GE, Bayesian models for multivariate current status data with informative censoring., Biometrics, vol. 58 no. 1 (March, 2002), pp. 79-88, ISSN 0006-341X [doi]  [abs]
  406. Dunson, DB; Baird, DD, A proportional hazards model for incidence and induced remission of disease., Biometrics, vol. 58 no. 1 (March, 2002), pp. 71-78, ISSN 0006-341X [doi]  [abs]
  407. Dollé, MET; Snyder, WK; Dunson, DB; Vijg, J, Mutational fingerprints of aging., Nucleic acids research, vol. 30 no. 2 (January, 2002), pp. 545-549, ISSN 0305-1048 [doi]  [abs]
  408. Dunson, DB, Bayesian modeling of the level and duration of fertility in the menstrual cycle., Biometrics, vol. 57 no. 4 (December, 2001), pp. 1067-1073 [doi]  [abs]
  409. Dunson, DB; Sinai, I; Colombo, B, The relationship between cervical secretions and the daily probabilities of pregnancy: effectiveness of the TwoDay Algorithm., Human reproduction (Oxford, England), vol. 16 no. 11 (November, 2001), pp. 2278-2282, ISSN 0268-1161 [doi]  [abs]
  410. Wilcox, AJ; Baird, DD; Dunson, D; McChesney, R; Weinberg, CR, Natural limits of pregnancy testing in relation to the expected menstrual period., JAMA, vol. 286 no. 14 (October, 2001), pp. 1759-1761, ISSN 0098-7484 [doi]  [abs]
  411. Nyska, A; Lomnitski, L; Spalding, J; Dunson, DB; Goldsworthy, TL; Ben-Shaul, V; Grossman, S; Bergman, M; Boorman, G, Erratum: Topical and oral administration of the natural water-soluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model (Toxicology Letters (2001) 122 (33-44) PII: S0378427401003459), Toxicology Letters, vol. 123 no. 2-3 (September, 2001), pp. 237, Elsevier BV, ISSN 0378-4274 [doi]
  412. Robbins, WA; Witt, KL; Haseman, JK; Dunson, DB; Troiani, L; Cohen, MS; Hamilton, CD; Perreault, SD; Libbus, B; Beyler, SA; Raburn, DJ; Tedder, ST; Shelby, MD; Bishop, JB, Antiretroviral therapy effects on genetic and morphologic end points in lymphocytes and sperm of men with human immunodeficiency virus infection., J Infect Dis, vol. 184 no. 2 (July, 2001), pp. 127-135, ISSN 0022-1899 [11424008], [doi]  [abs]
  413. Dunson, DB; Baird, DD, A flexible parametric model for combining current status and age at first diagnosis data., Biometrics, vol. 57 no. 2 (June, 2001), pp. 396-403 [doi]  [abs]
  414. Dunson, DB, Commentary: practical advantages of Bayesian analysis of epidemiologic data., American journal of epidemiology, vol. 153 no. 12 (June, 2001), pp. 1222-1226 [doi]  [abs]
  415. Nyska, A; Lomnitski, L; Spalding, J; Dunson, DB; Goldsworthy, TL; Ben-Shaul, V; Grossman, S; Bergman, M; Boorman, G, Topical and oral administration of the natural water-soluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model., Toxicology letters, vol. 122 no. 1 (May, 2001), pp. 33-44, ISSN 0378-4274 [doi]  [abs]
  416. Wilcox, AJ; Dunson, DB; Weinberg, CR; Trussell, J; Baird, DD, Likelihood of conception with a single act of intercourse: providing benchmark rates for assessment of post-coital contraceptives., Contraception, vol. 63 no. 4 (April, 2001), pp. 211-215, ISSN 0010-7824 [11376648], [doi]  [abs]
  417. Dunson, DB; Perreault, SD, Factor analytic models of clustered multivariate data with informative censoring., Biometrics, vol. 57 no. 1 (March, 2001), pp. 302-308, ISSN 0006-341X [doi]  [abs]
  418. Dunson, DB, Modeling of changes in tumor burden, Journal of Agricultural, Biological, and Environmental Statistics, vol. 6 no. 1 (March, 2001), pp. 38-48, Springer Nature [doi]  [abs]
  419. Dunson, DB; Weinberg, CR; Baird, DD; Kesner, JS; Wilcox, AJ, Assessing human fertility using several markers of ovulation., Statistics in medicine, vol. 20 no. 6 (March, 2001), pp. 965-978, ISSN 0277-6715 [doi]  [abs]
  420. Dunson, DB; Dinse, GE, Bayesian incidence analysis of animal tumorigenicity data, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 50 no. 2 (January, 2001), pp. 125-141, WILEY [doi]  [abs]
  421. Weinberg, CR; Dunson, DB, Some issues in assessing human fertility, in Statistics in the 21st Century (January, 2001), pp. 42-49, ISBN 9781584882725  [abs]
  422. Dunson, DB; Zhou, H, A Bayesian Model for Fecundability and Sterility, Journal of the American Statistical Association, vol. 95 no. 452 (December, 2000), pp. 1054-1062, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  423. Dunson, DB; Dinse, GE, Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments., Biometrics, vol. 56 no. 4 (December, 2000), pp. 1068-1075 [doi]  [abs]
  424. Wilcox, AJ; Dunson, D; Baird, DD, The timing of the "fertile window" in the menstrual cycle: day specific estimates from a prospective study., BMJ (Clinical research ed.), vol. 321 no. 7271 (November, 2000), pp. 1259-1262, ISSN 0959-8146 [doi]  [abs]
  425. Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra., Genetics, vol. 156 no. 3 (November, 2000), pp. 1411-1418 [doi]  [abs]
  426. Dunson, DB, Assessing overall risk in reproductive experiments., Risk analysis : an official publication of the Society for Risk Analysis, vol. 20 no. 4 (August, 2000), pp. 429-437 [doi]  [abs]
  427. Dunson, DB; Haseman, JK; van Birgelen, AP; Stasiewicz, S; Tennant, RW, Statistical analysis of skin tumor data from Tg.AC mouse bioassays., Toxicological sciences : an official journal of the Society of Toxicology, vol. 55 no. 2 (June, 2000), pp. 293-302 [doi]  [abs]
  428. Dunson, DB; Weinberg, CR, Modeling human fertility in the presence of measurement error., Biometrics, vol. 56 no. 1 (March, 2000), pp. 288-292, ISSN 0006-341X [doi]  [abs]
  429. Weinberg, CR; Dunson, DB, Some Issues in Assessing Human Fertility, in Statistics in the 21st Century, Journal of the American Statistical Association, vol. 95 no. 449 (March, 2000), pp. 300-303, Informa UK Limited, ISSN 0162-1459, ISBN 9781420035391 [doi]  [abs]
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