Publications of David B. Dunson

Books

  1. Gelman, A; Carlin, JB; Stern, HS; Dunson, DB; Vehtari, A; Rubin, DB, Bayesian data analysis, third edition (January, 2013), pp. 1-646, ISBN 9781439840955

Papers Published

  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)
  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
  3. Datta, J; Banerjee, S; Dunson, DB, Nonparametric Bayes multiresolution testing for high-dimensional rare events, Journal of Nonparametric Statistics (January, 2024)
  4. Winter, S; Campbell, T; Lin, L; Srivastava, S; Dunson, DB, Emerging Directions in Bayesian Computation, Statistical Science, vol. 39 no. 1 (January, 2024), pp. 62-89
  5. 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
  6. 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
  7. Rigon, T; Herring, AH; Dunson, DB, A generalized Bayes framework for probabilistic clustering, Biometrika, vol. 110 no. 3 (September, 2023), pp. 559-578
  8. Liu, R; Li, M; Dunson, DB, PPA: Principal parcellation analysis for brain connectomes and multiple traits., NeuroImage, vol. 276 (August, 2023), pp. 120214
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Chakraborty, A; Ou, R; Dunson, DB, Bayesian Inference on High-Dimensional Multivariate Binary Responses, Journal of the American Statistical Association (January, 2023)
  20. 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
  21. 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
  22. 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
  23. 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
  24. Schiavon, L; Canale, A; Dunson, DB, Generalized infinite factorization models., Biometrika, vol. 109 no. 3 (September, 2022), pp. 817-835
  25. Dey, P; Zhang, Z; Dunson, DB, Outlier detection for multi-network data., Bioinformatics (Oxford, England), vol. 38 no. 16 (August, 2022), pp. 4011-4018
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. Peruzzi, M; Dunson, DB, Spatial Multivariate Trees for Big Data Bayesian Regression., Journal of machine learning research : JMLR, vol. 23 (January, 2022), pp. 17
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. Papadogeorgou, G; Zhang, Z; Dunson, DB, Soft tensor regression, Journal of Machine Learning Research, vol. 22 (January, 2021), pp. 1-53
  50. Duan, LL; Dunson, DB, Bayesian Distance Clustering., Journal of machine learning research : JMLR, vol. 22 (January, 2021), pp. 224
  51. Zhu, Y; Li, C; Dunson, DB, Classification Trees for Imbalanced Data: Surface-to-Volume Regularization, Journal of the American Statistical Association (January, 2021)
  52. 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
  53. 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
  54. 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
  55. 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
  56. Li, D; Dunson, D, Classification via local manifold approximation, vol. 107 no. 4 (December, 2020), pp. 1013-1020
  57. Roy, A; Dunson, DB, Nonparametric graphical model for counts., Journal of machine learning research : JMLR, vol. 21 (December, 2020), pp. 229
  58. Legramanti, S; Durante, D; Dunson, DB, Bayesian cumulative shrinkage for infinite factorizations., Biometrika, vol. 107 no. 3 (September, 2020), pp. 745-752
  59. Dunson, D; Papamarkou, T, Discussions, International Statistical Review, vol. 88 no. 2 (August, 2020), pp. 321-324
  60. 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
  61. 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
  62. 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
  63. Dunson, DB; Johndrow, JE, The Hastings algorithm at fifty, Biometrika, vol. 107 no. 1 (March, 2020), pp. 1-23
  64. Duan, LL; Young, AL; Nishimura, A; Dunson, DB, Bayesian constraint relaxation., Biometrika, vol. 107 no. 1 (March, 2020), pp. 191-204
  65. 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
  66. 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
  67. 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
  68. Jauch, M; Hoff, PD; Dunson, DB, Random orthogonal matrices and the Cayley transform, Bernoulli, vol. 26 no. 2 (January, 2020), pp. 1560-1586
  69. Nishimura, A; Dunson, D, Recycling Intermediate Steps to Improve Hamiltonian Monte Carlo, Bayesian Analysis, vol. 15 no. 4 (January, 2020), pp. 1087-1108
  70. 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
  71. 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)
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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)
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. Wang, L; Zhengwu Zhang, ; Dunson, , COMMON AND INDIVIDUAL STRUCTURE OF MULTIPLE NETWORKS, vol. 13 no. 1 (January, 2019), pp. 85-112
  84. 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
  85. 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
  86. 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
  87. 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
  88. Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment., Biometrics, vol. 74 no. 4 (December, 2018), pp. 1331-1340
  89. 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
  90. Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration, Journal of Machine Learning Research, vol. 19 (October, 2018)
  91. 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
  92. 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
  93. 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
  94. 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
  95. Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage., Biometrika, vol. 105 no. 2 (June, 2018), pp. 431-446
  96. 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
  97. 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
  98. 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
  99. 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
  100. 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
  101. 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
  102. 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
  103. 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
  104. Wheeler, MW; Dunson, DB; Herring, AH, Bayesian local extremum splines, Biometrika, vol. 104 no. 4 (December, 2017), pp. 939-952, Oxford University Press (OUP)
  105. 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)
  106. 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
  107. 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
  108. 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
  109. 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)
  110. 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
  111. Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis., Biometrika, vol. 104 no. 3 (September, 2017), pp. 649-663
  112. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression, Journal of Machine Learning Research, vol. 18 (August, 2017), pp. 1-31
  113. 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
  114. 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
  115. 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
  116. Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian network-response regression., Bioinformatics (Oxford, England), vol. 33 no. 12 (June, 2017), pp. 1859-1866
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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
  123. 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
  124. Dunson, DB, Toward automated prior choice, Statistical Science, vol. 32 no. 1 (February, 2017), pp. 41-43, Institute of Mathematical Statistics
  125. 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
  126. 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
  127. 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
  128. 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
  129. 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
  130. 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
  131. Datta, J; Dunson, DB, Bayesian inference on quasi-sparse count data., Biometrika, vol. 103 no. 4 (December, 2016), pp. 971-983
  132. 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
  133. 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
  134. 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)
  135. 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
  136. 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
  137. Canale, A; Dunson, DB, Multiscale bernstein polynomials for densities, Statistica Sinica, vol. 26 no. 3 (July, 2016), pp. 1175-1195, Institute of Statistical Science
  138. 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
  139. Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling., Biometrika, vol. 103 no. 2 (June, 2016), pp. 319-335
  140. 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
  141. Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression, Journal of Machine Learning Research, vol. 17 (May, 2016)
  142. 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
  143. Yang, Y; Dunson, DB, Bayesian manifold regression, Annals of Statistics, vol. 44 no. 2 (April, 2016), pp. 876-905, Institute of Mathematical Statistics
  144. 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
  145. 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
  146. 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
  147. 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
  148. 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
  149. 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
  150. 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
  151. 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
  152. Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression, Journal of Machine Learning Research, vol. 16 (December, 2015), pp. 2501-2542
  153. 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
  154. Lock, EF; Dunson, DB, Shared kernel Bayesian screening., Biometrika, vol. 102 no. 4 (December, 2015), pp. 829-842
  155. 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
  156. 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
  157. 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
  158. Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference (August, 2015)
  159. 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
  160. 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
  161. 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
  162. 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
  163. 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
  164. 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
  165. 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
  166. 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
  167. 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
  168. 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
  169. 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
  170. 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
  171. Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence, Biometrika, vol. 103 no. 1 (January, 2015), pp. 35-47, Oxford University Press (OUP)
  172. 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
  173. 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)
  174. 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
  175. 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
  176. 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
  177. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 890-891, Informa UK Limited, ISSN 0162-1459
  178. 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
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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
  184. 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
  185. 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
  186. 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
  187. 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
  188. 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
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. 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
  195. 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
  196. 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
  197. 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
  198. 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
  199. Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks, Journal of Machine Learning Research, vol. 33 (January, 2014), pp. 194-201
  200. 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
  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)
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  216. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258
  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
  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
  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
  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)
  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
  222. Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 29-38
  223. 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
  224. 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
  225. 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
  226. Banerjee, A; Dunson, DB; Tokdar, ST, Efficient Gaussian process regression for large datasets, Biometrika, vol. 100 no. 1 (2013), pp. 75-89
  227. 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
  228. Petralia, F; Rao, V; Dunson, DB, Repulsive mixtures, Advances in Neural Information Processing Systems, vol. 3 (December, 2012), pp. 1889-1897, ISSN 1049-5258
  229. Fox, EB; Dunson, DB, Multiresolution Gaussian processes, Advances in Neural Information Processing Systems, vol. 1 (December, 2012), pp. 737-745, ISSN 1049-5258
  230. 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
  231. 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
  232. 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
  233. 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
  234. 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
  235. 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
  236. 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
  237. 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
  238. 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
  239. 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
  240. 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
  241. 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
  242. 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
  243. 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
  244. 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
  245. 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
  246. 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
  247. 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)
  248. 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)
  249. 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
  250. 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
  251. 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
  252. 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
  253. 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
  254. Wang, L; Dunson, DB, Bayesian isotonic density regression., Biometrika, vol. 98 no. 3 (September, 2011), pp. 537-551, ISSN 0006-3444
  255. 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
  256. 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
  257. 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
  258. Bhattacharya, A; Dunson, DB, Sparse Bayesian infinite factor models., Biometrika, vol. 98 no. 2 (June, 2011), pp. 291-306, ISSN 0006-3444
  259. 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
  260. 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
  261. 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
  262. 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
  263. 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
  264. 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
  265. 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
  266. 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
  267. 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
  268. 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
  269. 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
  270. 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
  271. 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
  272. 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
  273. 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
  274. 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
  275. 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
  276. 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
  277. 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
  278. 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
  279. 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
  280. 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)
  281. 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
  282. 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
  283. 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
  284. 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
  285. Dunson, DB, MULTIVARIATE KERNEL PARTITION PROCESS MIXTURES., Statistica Sinica, vol. 20 no. 4 (October, 2010), pp. 1395-1422, ISSN 1017-0405
  286. 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
  287. 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
  288. 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
  289. 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
  290. Park, JH; Dunson, DB, Bayesian generalized product partition model, Statistica Sinica, vol. 20 no. 3 (July, 2010), pp. 1203-1226, ISSN 1017-0405
  291. Maclehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage., Biometrics, vol. 66 no. 2 (June, 2010), pp. 455-462, ISSN 0006-341X
  292. 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
  293. 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
  294. 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
  295. 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
  296. 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
  297. 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
  298. 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
  299. 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
  300. 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
  301. 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
  302. 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
  303. 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
  304. Dunson, DB, Bayesian nonparametric hierarchical modeling., Biometrical journal. Biometrische Zeitschrift, vol. 51 no. 2 (April, 2009), pp. 273-284
  305. 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
  306. 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
  307. 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
  308. 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
  309. 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
  310. 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
  311. Dunson, DB, Nonparametric Bayes local partition models for random effects., Biometrika, vol. 96 no. 2 (January, 2009), pp. 249-262, ISSN 0006-3444
  312. Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets, Statistics & Probability Letters (2009)
  313. Wang, L; Dunson, DB, Semiparametric Bayes multiple testing: Applications to tumor data., Biometrics, vol. 66 no. 2 (2009), pp. 493-501, ISSN 0006-341X
  314. 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
  315. 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
  316. 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
  317. 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
  318. 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
  319. 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
  320. 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
  321. 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
  322. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 103 no. 481 (March, 2008), pp. 40-41, Informa UK Limited, ISSN 0162-1459
  323. 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
  324. 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
  325. 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
  326. 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
  327. 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
  328. 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
  329. Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation, Biometrika, vol. 96 (2008), pp. 149-162
  330. Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion), Journal of the American Statistical Association (2008)
  331. 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
  332. Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling (December, 2007), pp. 163-188, Elsevier
  333. 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
  334. 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
  335. 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
  336. 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
  337. Bigelow, JL; Dunson, DB, Bayesian adaptive regression splines for hierarchical data., Biometrics, vol. 63 no. 3 (September, 2007), pp. 724-732, ISSN 0006-341X
  338. 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
  339. 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
  340. 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
  341. 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
  342. 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
  343. Dunson, DB, Empirical bayes density regression, Statistica Sinica, vol. 17 no. 2 (April, 2007), pp. 481-504, ISSN 1017-0405
  344. 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
  345. 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
  346. 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
  347. 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
  348. 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
  349. 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
  350. Dunson, DB, Bayesian dynamic modeling of latent trait distributions., Biostatistics (Oxford, England), vol. 7 no. 4 (October, 2006), pp. 551-568, ISSN 1465-4644
  351. 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
  352. 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
  353. 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
  354. 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
  355. 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
  356. Chen, Z; Dunson, DB, The authors replied as follows [2], Biometrics, vol. 62 no. 2 (January, 2006), pp. 623-624, WILEY, ISSN 0006-341X
  357. Dunson, DB, Bayesian Biostatistics, Handbook of Statistics, vol. 25 (December, 2005), pp. 743-761, Elsevier, ISSN 0169-7161
  358. Hans, C; Dunson, DB, Bayesian inferences on umbrella orderings., Biometrics, vol. 61 no. 4 (December, 2005), pp. 1018-1026, ISSN 0006-341X
  359. 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
  360. 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)
  361. 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
  362. 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
  363. 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
  364. 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
  365. 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
  366. 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
  367. Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities., Biometrics, vol. 61 no. 1 (March, 2005), pp. 126-133
  368. 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
  369. Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes., Biostatistics (Oxford, England), vol. 6 no. 1 (January, 2005), pp. 11-25
  370. 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
  371. 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
  372. O'Brien, SM; Dunson, DB, Bayesian multivariate logistic regression., Biometrics, vol. 60 no. 3 (September, 2004), pp. 739-746, ISSN 0006-341X
  373. 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
  374. 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
  375. Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis., Biometrics, vol. 60 no. 2 (June, 2004), pp. 398-406
  376. Chen, Z; Dunson, DB, Bayesian estimation of survival functions under stochastic precedence., Lifetime data analysis, vol. 10 no. 2 (June, 2004), pp. 159-173
  377. Dunson, DB; Chen, Z, Selecting factors predictive of heterogeneity in multivariate event time data., Biometrics, vol. 60 no. 2 (June, 2004), pp. 352-358
  378. 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
  379. 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
  380. 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
  381. 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
  382. Dunson, DB; Herring, AH, Bayesian inferences in the Cox model for order-restricted hypotheses., Biometrics, vol. 59 no. 4 (December, 2003), pp. 916-923
  383. Chen, Z; Dunson, DB, Random effects selection in linear mixed models., Biometrics, vol. 59 no. 4 (December, 2003), pp. 762-769
  384. 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
  385. 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
  386. 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
  387. 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
  388. Dunson, DB; Neelon, B, Bayesian inference on order-constrained parameters in generalized linear models., Biometrics, vol. 59 no. 2 (June, 2003), pp. 286-295
  389. 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
  390. 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
  391. 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
  392. Baird, DD; Dunson, DB, Why is parity protective for uterine fibroids?, Epidemiology (Cambridge, Mass.), vol. 14 no. 2 (March, 2003), pp. 247-250
  393. 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
  394. 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
  395. 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
  396. 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
  397. Mikolajczyk, R, TwoDay Algorithm in predicting fertile time., Human reproduction (Oxford, England), vol. 17 no. 7 (July, 2002), pp. 1925, ISSN 0268-1161
  398. 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
  399. 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
  400. 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
  401. 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
  402. 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
  403. 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
  404. 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
  405. 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
  406. 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
  407. 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
  408. 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
  409. Dunson, DB, Commentary: practical advantages of Bayesian analysis of epidemiologic data., American journal of epidemiology, vol. 153 no. 12 (June, 2001), pp. 1222-1226
  410. 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
  411. 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
  412. 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
  413. 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
  414. 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
  415. 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
  416. 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
  417. 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
  418. 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
  419. Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra., Genetics, vol. 156 no. 3 (November, 2000), pp. 1411-1418
  420. 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
  421. 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
  422. 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
  423. 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
  424. Dunson, DB, Models for papilloma multiplicity and regression: Applications to transgenic mouse studies, Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 49 no. 1 (January, 2000), pp. 19-30, WILEY
  425. Dunson, DB, Bayesian latent variable models for clustered mixed outcomes, Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 62 no. 2 (January, 2000), pp. 355-366, WILEY
  426. Dunson, DB; Weinberg, CR, Accounting for unreported and missing intercourse in human fertility studies, Statistics in Medicine, vol. 19 no. 5 (2000), pp. 665-679, ISSN 0277-6715
  427. Dunson, DB; Haseman, JK, Modeling tumor onset and multiplicity using transition models with latent variables., Biometrics, vol. 55 no. 3 (September, 1999), pp. 965-970, ISSN 0006-341X
  428. Dunson, WA; Dunson, DB, Factors influencing growth and survival of the killifish, Rivulus marmoratus, held inside enclosures in mangrove swamps, Copeia, vol. 1999 no. 3 (August, 1999), pp. 661-668, JSTOR
  429. Dunson, DB; Baird, DD; Wilcox, AJ; Weinberg, CR, Day-specific probabilities of clinical pregnancy based on two studies with imperfect measures of ovulation., Human reproduction (Oxford, England), vol. 14 no. 7 (July, 1999), pp. 1835-1839, ISSN 0268-1161
  430. Dunson, DB; Weinberg, CR; Perreault, SD; Chapin, RE, Summarizing the motion of self-propelled cells: applications to sperm motility., Biometrics, vol. 55 no. 2 (June, 1999), pp. 537-543, ISSN 0006-341X
  431. Dunson, DB, Dose-dependent number of implants and implications in developmental toxicity., Biometrics, vol. 54 no. 2 (June, 1998), pp. 558-569, ISSN 0006-341X
  432. Dunson, WA; Paradise, CJ; Dunson, DB, Inhibitory effect of low salinity on growth and reproduction of the estuarine sheepshead minnow, Cyprinodon variegatus, Copeia, vol. 1998 no. 1 (February, 1998), pp. 235-239, JSTOR

Papers Submitted

  1. R. Mitra and D.B. Dunson, Two level stochastic search variable selection in GLMs with missing predictors (2008)
  2. B. Cai and D.B. Dunson, Variable selection in nonparametric random effects models, submitted (2007)
  3. L.Wang and D.B. Dunson, Bayesian isotonic density regression (2007)

Chapters

  1. Dunson, DB, Nonparametric Bayes, in Past, Present, and Future of Statistical Science (January, 2014), pp. 281-291, ISBN 9781482204964
  2. 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
  3. Weinberg, CR; Dunson, DB, Some issues in assessing human fertility, in Statistics in the 21st Century (January, 2001), pp. 42-49, ISBN 9781584882725