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. Zhang, Z; Allen, GI; Zhu, H; Dunson, D, Tensor network factorizations: Relationships between brain structural connectomes and traits., Neuroimage, vol. 197 (April, 2019), pp. 330-343
  2. Wang, L; Zhang, Z; Dunson, D, Symmetric Bilinear Regression for Signal Subgraph Estimation, Ieee Transactions on Signal Processing, vol. 67 no. 7 (April, 2019), pp. 1929-1940
  3. Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions, Journal of the American Statistical Association (January, 2019)
  4. Wang, L; Zhang, Z; Dunson, D, Common and individual structure of brain networks, The Annals of Applied Statistics, vol. 13 no. 1 (January, 2019), pp. 85-112
  5. 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) (January, 2019)
  6. Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment., Biometrics, vol. 74 no. 4 (December, 2018), pp. 1331-1340
  7. 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
  8. 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 (October, 2018), pp. 1528-1540
  9. Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration, Journal of Machine Learning Research, vol. 19 (October, 2018)
  10. 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
  11. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering, Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 27 no. 3 (July, 2018), pp. 657-672, Informa UK Limited
  12. van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extrema-weighted feature extraction for functional data., Bioinformatics (Oxford, England), vol. 34 no. 14 (July, 2018), pp. 2457-2464
  13. Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian Multi-Plate High-Throughput Screening of Compounds., Scientific Reports, vol. 8 no. 1 (June, 2018), pp. 9551
  14. Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage., Biometrika, vol. 105 no. 2 (June, 2018), pp. 431-446
  15. Dunson, DB, Statistics in the big data era: Failures of the machine, Statistics & Probability Letters, vol. 136 (May, 2018), pp. 4-9, Elsevier BV
  16. 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
  17. 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
  18. 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
  19. Miller, JW; Dunson, DB, Robust Bayesian Inference via Coarsening, Journal of the American Statistical Association (January, 2018), pp. 1-13, Informa UK Limited
  20. Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data, Journal of the American Statistical Association (January, 2018)
  21. 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
  22. 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
  23. Wheeler, MW; Dunson, DB; Herring, AH, Bayesian Local Extremum Splines., Biometrika, vol. 104 no. 4 (December, 2017), pp. 939-952, Oxford University Press (OUP)
  24. 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)
  25. 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
  26. 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
  27. 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
  28. 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)
  29. 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
  30. Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis., Biometrika, vol. 104 no. 3 (September, 2017), pp. 649-663
  31. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression, Journal of Machine Learning Research, vol. 18 (August, 2017), pp. 1-31
  32. 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 and Behavior, vol. 7 no. 6 (June, 2017), pp. e00710
  33. 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
  34. Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian network-response regression., Bioinformatics (Oxford, England), vol. 33 no. 12 (June, 2017), pp. 1859-1866
  35. 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
  36. 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 of the Royal Society B: Biological Sciences, vol. 284 no. 1855 (May, 2017), pp. 20170768-20170768
  37. 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., The Journal of Experimental Medicine, vol. 214 no. 5 (May, 2017), pp. 1371-1386
  38. 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
  39. 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 Discovery, vol. 7 no. 4 (April, 2017), pp. 369-379
  40. 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
  41. 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
  42. Dunson, DB, Toward automated prior choice, Statistical Science, vol. 32 no. 1 (February, 2017), pp. 41-43, Institute of Mathematical Statistics
  43. 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
  44. Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS., The Annals of Statistics, vol. 45 no. 1 (January, 2017), pp. 1-38
  45. 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
  46. 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
  47. Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (2017), pp. 1516-1530
  48. Datta, J; Dunson, DB, Bayesian inference on quasi-sparse count data., Biometrika, vol. 103 no. 4 (December, 2016), pp. 971-983
  49. 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
  50. Durante, D; Dunson, DB, Locally adaptive dynamic networks, The Annals of Applied Statistics, vol. 10 no. 4 (December, 2016), pp. 2203-2232, Institute of Mathematical Statistics
  51. 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
  52. 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
  53. 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)
  54. 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
  55. Canale, A; Dunson, DB, Multiscale bernstein polynomials for densities, Statistica Sinica, vol. 26 no. 3 (July, 2016), pp. 1175-1195, Institute of Statistical Science
  56. 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
  57. 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
  58. Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling., Biometrika, vol. 103 no. 2 (June, 2016), pp. 319-335
  59. 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
  60. Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression, Journal of Machine Learning Research, vol. 17 (May, 2016)
  61. Yang, Y; Dunson, DB, Bayesian Conditional Tensor Factorizations for High-Dimensional Classification, Journal of the American Statistical Association, vol. 111 no. 514 (April, 2016), pp. 656-669, Informa UK Limited
  62. Kabisa, S; Dunson, DB; Morris, JS, Online Variational Bayes Inference for High-Dimensional Correlated Data, Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 25 no. 2 (April, 2016), pp. 426-444, Informa UK Limited
  63. Yang, Y; Dunson, DB, Bayesian manifold regression, The Annals of Statistics, vol. 44 no. 2 (April, 2016), pp. 876-905, Institute of Mathematical Statistics
  64. 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
  65. 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
  66. 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., Frontiers in Behavioral Neuroscience, vol. 10 (January, 2016), pp. 197
  67. 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
  68. 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
  69. Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression, Journal of Machine Learning Research, vol. 16 (December, 2015), pp. 2501-2542
  70. 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
  71. Lock, EF; Dunson, DB, Shared kernel Bayesian screening., Biometrika, vol. 102 no. 4 (December, 2015), pp. 829-842
  72. 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
  73. 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
  74. Zhou, J; Bhattacharya, A; Herring, AH; Dunson, DB, Bayesian Factorizations of Big Sparse Tensors, Journal of the American Statistical Association, vol. 110 no. 512 (October, 2015), pp. 1562-1576, Informa UK Limited
  75. 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
  76. 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
  77. 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
  78. 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 (January, 2015), pp. 11
  79. Chabout, J; Sarkar, A; Dunson, DB; Jarvis, ED, Male mice song syntax depends on social contexts and influences female preferences., Frontiers in Behavioral Neuroscience, vol. 9 (January, 2015), pp. 76
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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
  88. Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence, Biometrika, vol. 103 no. 1 (January, 2015), pp. 35-47, Oxford University Press (OUP)
  89. Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference (2015)
  90. 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)
  91. 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
  92. 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
  93. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 890-891, Informa UK Limited, ISSN 0162-1459
  94. 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
  95. 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 (June, 2014), pp. 1358-1382, Informa UK Limited, ISSN 0266-4763
  96. Pati, D; Bhattacharya, A; Pillai, NS; Dunson, D, Posterior contraction in sparse Bayesian factor models for massive covariance matrices, The Annals of Statistics, vol. 42 no. 3 (June, 2014), pp. 1102-1130, Institute of Mathematical Statistics, ISSN 0090-5364
  97. 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
  98. 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
  99. 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
  100. 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
  101. 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
  102. Bhattacharya, A; Pati, D; Dunson, D, Anisotropic function estimation using multi-bandwidth Gaussian processes, The Annals of Statistics, vol. 42 no. 1 (February, 2014), pp. 352-381, Institute of Mathematical Statistics
  103. 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
  104. 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
  105. 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
  106. 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
  107. Rodriguez, A; Dunson, DB, Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies, The Annals of Applied Statistics, vol. 8 no. 3 (January, 2014), pp. 1416-1442, Institute of Mathematical Statistics, ISSN 1932-6157
  108. 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
  109. 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
  110. Durante, D; Dunson, DB, Bayesian dynamic financial networks with time-varying predictors, Statistics & Probability Letters, vol. 93 (January, 2014), pp. 19-26, Elsevier BV, ISSN 0167-7152
  111. 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
  112. 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
  113. 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
  114. 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
  115. Carlson, DE; Vogelstein, JT; Qisong Wu, ; Wenzhao Lian, ; Mingyuan Zhou, ; Stoetzner, CR; Kipke, D; Weber, D; Dunson, DB; Carin, L, Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling., Ieee Transactions on Bio Medical Engineering, vol. 61 no. 1 (January, 2014), pp. 41-54, ISSN 0018-9294
  116. Chen, CWS; Dunson, D; Frühwirth-Schnatter, S; Walker, SG, Special issue on Bayesian computing, methods and applications, Computational Statistics & Data Analysis, vol. 71 (January, 2014), pp. 273, Elsevier BV, ISSN 0167-9473
  117. Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks, Journal of Machine Learning Research, vol. 33 (January, 2014), pp. 194-201
  118. 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
  119. 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 Bio Medical Engineering, vol. 61 no. 1 (January, 2014), pp. 41-54
  120. Chen, CWS; Dunson, D; Frühwirth-Schnatter, S; Walker, SG, Special issue on Bayesian computing, methods and applications, Computational Statistics & Data Analysis, vol. 71 (2014), pp. 273-, ISSN 0167-9473
  121. 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)
  122. 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
  123. 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
  124. Salazar, E; Dunson, DB; Carin, L, Analysis of space–time relational data with application to legislative voting, Computational Statistics & Data Analysis, vol. 68 (December, 2013), pp. 141-154, Elsevier BV, ISSN 0167-9473
  125. Hannah, LA; Dunson, DB, Multivariate Convex Regression with Adaptive Partitioning, Journal of Machine Learning Research, vol. 14 (November, 2013), pp. 3261-3294, ISSN 1532-4435
  126. 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
  127. Lock, EF; Dunson, DB, Bayesian consensus clustering., Bioinformatics (Oxford, England), vol. 29 no. 20 (October, 2013), pp. 2610-2616
  128. Yu, K; Chen, CWS; Reed, C; Dunson, DB, Bayesian variable selection in quantile regression, Statistics and Its Interface, vol. 6 no. 2 (July, 2013), pp. 261-274, International Press of Boston, ISSN 1938-7989
  129. Zhu, B; Ashley-Koch, AE; Dunson, DB, Generalized admixture mapping for complex traits., G3 (Bethesda, Md.), vol. 3 no. 7 (July, 2013), pp. 1165-1175
  130. Murray, JS; Dunson, DB; Carin, L; Lucas, JE, Bayesian Gaussian Copula Factor Models for Mixed Data, vol. 108 no. 502 (June, 2013), pp. 656-665
  131. 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
  132. Page, G; Bhattacharya, A; Dunson, D, Classification via Bayesian Nonparametric Learning of Affine Subspaces, Journal of the American Statistical Association, vol. 108 no. 501 (March, 2013), pp. 187-201, Informa UK Limited, ISSN 0162-1459
  133. 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., Proceedings of the National Academy of Sciences of the United States of America, vol. 110 no. 4 (January, 2013), pp. 1398-1403
  134. Petralia, F; Vogelstein, J; Dunson, DB, Multiscale dictionary learning for estimating conditional distributions, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258
  135. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258
  136. 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
  137. 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
  138. 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)
  139. Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 29-38
  140. 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
  141. Li, D; Longnecker, MP; Dunson, DB, Lipid adjustment for chemical exposures: Accounting for concomitant variables, Epidemiology (Cambridge, Mass.), vol. 24 no. 6 (2013), pp. 921-928, ISSN 1044-3983
  142. Armagan, A; Dunson, DB; Lee, J, Generalized double pareto shrinkage, Statistica Sinica, vol. 23 no. 1 (2013), pp. 119-143, ISSN 1017-0405
  143. Pati, D; Dunson, DB, Bayesian nonparametric regression with varying residual density, Annals of the Institute of Statistical Mathematics (2013), pp. 1-31, ISSN 0020-3157
  144. Pati, D; Dunson, DB; Tokdar, ST, Posterior consistency in conditional distribution estimation, Journal of Multivariate Analysis, vol. 116 (2013), pp. 456-472, ISSN 0047-259X
  145. Banerjee, A; Dunson, DB; Tokdar, ST, Efficient Gaussian process regression for large datasets, Biometrika, vol. 100 no. 1 (2013), pp. 75-89
  146. Zhu, B; Dunson, DB; Ashley-Koch, AE, Adverse subpopulation regression for multivariate outcomes with high-dimensional predictors., Statistics in Medicine, vol. 31 no. 29 (December, 2012), pp. 4102-4113
  147. Petralia, F; Rao, V; Dunson, DB, Repulsive mixtures, Advances in Neural Information Processing Systems, vol. 3 (December, 2012), pp. 1889-1897, ISSN 1049-5258
  148. 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
  149. 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., Nature Genetics, vol. 44 no. 12 (December, 2012), pp. 1321-1325
  150. 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
  151. 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
  152. 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
  153. 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
  154. 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
  155. 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
  156. 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
  157. 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
  158. 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 Processing Magazine, vol. 29 no. 1 (January, 2012), pp. 108-123
  159. 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
  160. 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
  161. Fox, EB; Dunson, DB, Multiresolution Gaussian processes, Advances in Neural Information Processing Systems, vol. 1 (2012), pp. 737-745, ISSN 1049-5258
  162. 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 (2012), pp. 460-474, ISSN 1053-8119
  163. 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 (2012), pp. 369-376
  164. 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
  165. 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)
  166. 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)
  167. 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
  168. 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
  169. 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
  170. Yang, H; O'Brien, S; Dunson, DB, Nonparametric Bayes Stochastically Ordered Latent Class Models., Journal of the American Statistical Association, vol. 106 no. 495 (September, 2011), pp. 807-817, ISSN 0162-1459
  171. 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
  172. Zhou, M; Yang, H; Sapiro, G; Dunson, D; Carin, L, Covariate-dependent dictionary learning and sparse coding, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (August, 2011), pp. 5824-5827, IEEE, ISSN 1520-6149
  173. Armagan, A; Dunson, D, Sparse variational analysis of linear mixed models for large data sets, Statistics & Probability Letters, vol. 81 no. 8 (August, 2011), pp. 1056-1062, Elsevier BV, ISSN 0167-7152
  174. 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
  175. Bhattacharya, A; Dunson, DB, Sparse Bayesian infinite factor models., Biometrika, vol. 98 no. 2 (June, 2011), pp. 291-306, ISSN 0006-3444
  176. Page, GL; Dunson, DB, Bayesian Local Contamination Models for Multivariate Outliers., Technometrics, vol. 53 no. 2 (May, 2011), pp. 152-162, ISSN 0040-1706
  177. 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
  178. 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., The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol. 31 no. 17 (April, 2011), pp. 6449-6456
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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
  184. 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
  185. Ren, L; Du, L; Carin, L; Dunson, DB, Logistic Stick-Breaking Process., Journal of Machine Learning Research, vol. 12 no. Jan (January, 2011), pp. 203-239, ISSN 1532-4435
  186. Wang, L; Dunson, DB, Fast Bayesian Inference in Dirichlet Process Mixture Models., Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 20 no. 1 (January, 2011), pp. 196-216, Informa UK Limited, ISSN 1061-8600
  187. Gordon, GJ; Dunson, D, Preface to the proceedings of AISTATS 2011, Journal of Machine Learning Research, vol. 15 (2011), pp. 1-2, ISSN 1532-4435
  188. Pati, D; Reich, BJ; Dunson, DB, Bayesian geostatistical modelling with informative sampling locations, Biometrika, vol. 98 no. 1 (2011), pp. 35-48, ISSN 0006-3444
  189. Wang, L; Dunson, DB, Bayesian isotonic density regression, Biometrika, vol. 98 no. 3 (2011), pp. 537-551, ISSN 0006-3444
  190. 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
  191. Chen, H; Dunson, DB; Carin, L, Topic modeling with nonparametric Markov tree, Proceedings of the 28th International Conference on Machine Learning, ICML 2011 (2011), pp. 377-384
  192. Zhang, X; Dunson, DB; Carin, L, Tree-structured infinite sparse factor model, Proceedings of the 28th International Conference on Machine Learning, ICML 2011 (2011), pp. 785-792
  193. Chen, M; Zaas, A; Woods, C; Ginsburg, GS; Lucas, J; Dunson, D; Carin, L, Predicting viral infection from high-dimensional biomarker trajectories, Journal of the American Statistical Association, vol. 106 no. 496 (2011), pp. 1259-1279, ISSN 0162-1459
  194. Liu, F; Dunson, D; Zou, F, High-Dimensional Variable Selection in Meta-Analysis for Censored Data, Biometrics, vol. 67 no. 2 (2011), pp. 504-512, ISSN 0006-341X
  195. 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
  196. 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)
  197. 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, vol. 58 no. 12 (December, 2010), pp. 6140-6155, ISSN 1053-587X
  198. 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
  199. Yang, M; Dunson, DB, Bayesian semiparametric structural equation models with latent variables, Psychometrika, vol. 75 no. 4 (December, 2010), pp. 675-693, Springer Nature, ISSN 0033-3123
  200. 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
  201. 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
  202. 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
  203. Park, JH; Dunson, DB, Bayesian generalized product partition model, Statistica Sinica, vol. 20 no. 3 (July, 2010), pp. 1203-1226, ISSN 1017-0405
  204. 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
  205. 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
  206. Mitra, R; Dunson, D, Two-level stochastic search variable selection in GLMs with missing predictors, International Journal of Biostatistics, vol. 6 no. 1 (2010), ISSN 1557-4679
  207. Gordon, GJ; Dunson, D, Preface to the Proceedings of AISTATS 2011, Journal of Machine Learning Research, vol. 9 (2010), pp. 1-2, ISSN 1532-4435
  208. Stanford, JB; Mikolajczyk, RT; Dunson, DB, Are Chinese people really more fertile?, Fertility and Sterility, vol. 94 no. 3 (2010), pp. e58, ISSN 0015-0282
  209. Wang, C; Liao, X; Carin, L; Dunson, DB, Classification with incomplete data using dirichlet process priors, Journal of Machine Learning Research, vol. 11 (2010), pp. 3269-3311, ISSN 1532-4435
  210. Bornkamp, B; Ickstadt, K; Dunson, D, Stochastically ordered multiple regression, Biostatistics (Oxford, England), vol. 11 no. 3 (2010), pp. 419-431, ISSN 1465-4644
  211. Cai, B; Dunson, DB; Stanford, JB, Dynamic model for multivariate markers of fecundability, Biometrics, vol. 66 no. 3 (2010), pp. 905-913, ISSN 0006-341X
  212. Wang, L; Dunson, DB, Semiparametric Bayes multiple testing: Applications to tumor data, Biometrics, vol. 66 no. 2 (2010), pp. 493-501, ISSN 0006-341X
  213. MacLehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage, Biometrics, vol. 66 no. 2 (2010), pp. 455-462, ISSN 0006-341X
  214. Dunson, DB, Multivariate kernel partition process mixtures, Statistica Sinica, vol. 20 no. 4 (2010), pp. 1395-1422, ISSN 1017-0405
  215. 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
  216. 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
  217. Wang, C; An, Q; Carin, L; Dunson, DB, Multi-task classification with infinite local experts, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (September, 2009), pp. 1569-1572, IEEE, ISSN 1520-6149
  218. 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
  219. 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
  220. Dunson, DB, Bayesian nonparametric hierarchical modeling., Biometrical Journal, vol. 51 no. 2 (April, 2009), pp. 273-284
  221. Lu Ren, ; Dunson, DB; Lindroth, S; Carin, L, Music analysis with a Bayesian dynamic model, 2009 Ieee International Conference on Acoustics, Speech and Signal Processing (April, 2009), pp. 1681-1684, IEEE, ISSN 1520-6149
  222. Bigelow, JL; Dunson, DB, Bayesian semiparametric joint models for functional predictors, Journal of the American Statistical Association, vol. 104 no. 485 (March, 2009), pp. 26-36, Informa UK Limited, ISSN 0162-1459
  223. 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
  224. 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
  225. Dunson, DB, Nonparametric Bayes local partition models for random effects., Biometrika, vol. 96 no. 2 (January, 2009), pp. 249-262, ISSN 0006-3444
  226. 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 22 - Proceedings of the 2009 Conference (2009), pp. 486-494
  227. Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets, Statistics & Probability Letters (2009)
  228. Rodriguez, A; Dunson, DB; Taylor, J, Bayesian hierarchically weighted finite mixture models for samples of distributions, Biostatistics (Oxford, England), vol. 10 no. 1 (2009), pp. 155-171, ISSN 1465-4644
  229. Scarpa, B; Dunson, DB, Bayesian hierarchical functional data analysis via contaminated informative priors, Biometrics, vol. 65 no. 3 (2009), pp. 772-780, ISSN 0006-341X
  230. MacLehose, RF; Dunson, DB, Nonparametric Bayes kernel-based priors for functional data analysis, Statistica Sinica, vol. 19 no. 2 (2009), pp. 611-629, ISSN 1017-0405
  231. 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
  232. Dunson, DB; Herring, AH; Siega-Riz, AM, Bayesian inference on changes in response densities over predictor clusters, Journal of the American Statistical Association, vol. 103 no. 484 (December, 2008), pp. 1508-1517, Informa UK Limited, ISSN 0162-1459
  233. 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 (November, 2008), pp. 768-775
  234. 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 (November, 2008), pp. 17-24
  235. Ren, L; Dunson, DB; Carin, L, The dynamic hierarchical Dirichlet process, Proceedings of the 25th International Conference on Machine Learning (November, 2008), pp. 824-831
  236. Rodríguez, A; Dunson, DB; Gelfand, AE, The nested dirichlet process, Journal of the American Statistical Association, vol. 103 no. 483 (September, 2008), pp. 1131-1144, Informa UK Limited, ISSN 0162-1459
  237. 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
  238. 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
  239. 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)., Journal of Allergy and Clinical Immunology, vol. 122 no. 1 (July, 2008), pp. 49-54.e3, ISSN 0091-6749
  240. 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
  241. 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
  242. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 103 no. 481 (March, 2008), pp. 40-41, Informa UK Limited, ISSN 0162-1459
  243. 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
  244. Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation, Biometrika, vol. 96 (2008), pp. 149-162
  245. Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion), Journal of the American Statistical Association (2008)
  246. Pennell, ML; Dunson, DB, Nonparametric Bayes testing of changes in a response distribution with an ordinal predictor, Biometrics, vol. 64 no. 2 (2008), pp. 413-423, ISSN 0006-341X
  247. Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling (December, 2007), pp. 163-188, Elsevier
  248. 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
  249. Kinney, SK; Dunson, DB, Fixed and random effects selection in linear and logistic models., Biometrics, vol. 63 no. 3 (September, 2007), pp. 690-698, ISSN 0006-341X
  250. Bigelow, JL; Dunson, DB, Bayesian adaptive regression splines for hierarchical data., Biometrics, vol. 63 no. 3 (September, 2007), pp. 724-732, ISSN 0006-341X
  251. 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
  252. 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
  253. 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
  254. 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
  255. 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 (2007), pp. 157-163, ISSN 0002-9262
  256. Scarpa, B; Dunson, DB, Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy, Statistics in Medicine, vol. 26 no. 9 (2007), pp. 1920-1936, ISSN 0277-6715
  257. Stanford, JB; Dunson, DB, Effects of sexual intercourse patterns in time to pregnancy studies, American Journal of Epidemiology, vol. 165 no. 9 (2007), pp. 1088-1095, ISSN 0002-9262
  258. Dunson, DB, Bayesian methods for latent trait modelling of longitudinal data, Statistical Methods in Medical Research, vol. 16 no. 5 (2007), pp. 399-415, ISSN 0962-2802
  259. 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 (2007), pp. 915-924, ISSN 0015-0282
  260. Pennell, ML; Dunson, DB, Fitting semiparametric random effects models to large data sets, Biostatistics (Oxford, England), vol. 8 no. 4 (2007), pp. 821-834, ISSN 1465-4644
  261. Dunson, DB, Empirical bayes density regression, Statistica Sinica, vol. 17 no. 2 (2007), pp. 481-504, ISSN 1017-0405
  262. Stanford, JB; Dunson, DB, Paediatric and Perinatal Epidemiology: Foreword, Paediatric and Perinatal Epidemiology, vol. 20 no. SUPPL. 1 (November, 2006), pp. 1-2, WILEY, ISSN 0269-5022
  263. 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
  264. Chen, Z; Dunson, DB, The authors replied as follows:, Biometrics, vol. 62 no. 2 (June, 2006), pp. 623-624, WILEY, ISSN 0006-341X
  265. 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
  266. 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
  267. 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 (2006), pp. 72-78
  268. Stanford, JB; Dunson, DB, Foreword. Expanding Methodologies for Capturing Day-Specific Probabilities of Conception., Paediatric and Perinatal Epidemiology, vol. 20 Suppl 1 (2006), pp. 1-2, ISSN 0269-5022
  269. Scarpa, B; Dunson, DB, Bayesian selection of predictors of conception probabilities across the menstrual cycle, Paediatric and Perinatal Epidemiology, vol. 20 no. SUPPL. 1 (2006), pp. 30-37, ISSN 0269-5022
  270. Pennell, ML; Dunson, DB, Bayesian semiparametric dynamic frailty models for multiple event time data, Biometrics, vol. 62 no. 4 (2006), pp. 1044-1052+1284, ISSN 0006-341X
  271. Cai, B; Dunson, DB, Bayesian covariance selection in generalized linear mixed models, Biometrics, vol. 62 no. 2 (2006), pp. 446-457, ISSN 0006-341X
  272. Dunson, DB, Bayesian dynamic modeling of latent trait distributions, Biostatistics (Oxford, England), vol. 7 no. 4 (2006), pp. 551-568, ISSN 1465-4644
  273. Hans, C; Dunson, DB, Bayesian inferences on umbrella orderings., Biometrics, vol. 61 no. 4 (December, 2005), pp. 1018-1026, ISSN 0006-341X
  274. 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)
  275. 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
  276. 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
  277. 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
  278. Dunson, DB, Bayesian Biostatistics, Handbook of Statistics, vol. 25 (2005), pp. 743-761, Elsevier, ISSN 0169-7161
  279. Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes, Biostatistics, vol. 6 no. 1 (2005), pp. 11-25
  280. Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities, Biometrics, vol. 61 no. 1 (2005), pp. 126-133
  281. Dunson, DB; Herring, AH, Bayesian model selection and averaging in additive and proportional hazards models, Lifetime Data Analysis, vol. 11 no. 2 (2005), pp. 213-232
  282. Gunn, LH; Dunson, DB, A transformation approach for incorporating monotone or unimodal constraints, Biostatistics (Oxford, England), vol. 6 no. 3 (2005), pp. 434-449, ISSN 1465-4644
  283. 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 (2005), pp. 523-532
  284. Gueorguieva, RV; Chen, Z; Dunson, DB, Comments about joint modeling of cluster size and binary and continuous subunit-specific outcomes, Biometrics, vol. 61 no. 3 (2005), pp. 862-867+896, ISSN 0006-341X
  285. Dunson, DB; Bigelow, JL; Colombo, B, Reduced fertilization rates in older men when cervical mucus is suboptimal, Obstetrics and Gynecology, vol. 105 no. 4 (2005), pp. 788-793, ISSN 0029-7844
  286. O'Brien, SM; Dunson, DB, Bayesian multivariate logistic regression., Biometrics, vol. 60 no. 3 (September, 2004), pp. 739-746, ISSN 0006-341X
  287. 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
  288. 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, vol. 19 no. 7 (July, 2004), pp. 1539-1543, ISSN 0268-1161
  289. 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, vol. 19 no. 4 (April, 2004), pp. 889-892
  290. 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
  291. Tingen, C; Stanford, JB; Dunson, DB, Methodologic and statistical approaches to studying human fertility and environmental exposure, Environmental Health Perspectives, vol. 112 no. 1 (2004), pp. 87-93
  292. Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis, Biometrics, vol. 60 no. 2 (2004), pp. 398-406
  293. Chen, Z; Dunson, DB, Bayesian estimation of survival functions under stochastic precedence, Lifetime Data Analysis, vol. 10 no. 2 (2004), pp. 159-173
  294. Dunson, DB; Chen, Z, Selecting factors predictive of heterogeneity in multivariate event time data, Biometrics, vol. 60 no. 2 (2004), pp. 352-358
  295. 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 (2004), pp. 676-683, ISSN 0006-341X
  296. Herring, AH; Dunson, DB; Dole, N, Modeling the effects of a bidirectional latent predictor from multivariate questionnaire data, Biometrics, vol. 60 no. 4 (2004), pp. 926-935, ISSN 0006-341X
  297. 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
  298. 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
  299. Baird, DD; Dunson, DB, Why is parity protective for uterine fibroids?, Epidemiology (Cambridge, Mass.), vol. 14 no. 2 (March, 2003), pp. 247-250
  300. 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
  301. Dunson, DB, Incorporating heterogeneous intercourse records into time to pregnancy models, Mathematical Population Studies, vol. 10 no. 2 (January, 2003), pp. 127-143, Informa UK Limited, ISSN 0889-8480
  302. 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 (2003), pp. 283-293, Elsevier
  303. Chulada, PC; Jr, SJA; 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, Journal of Allergy and Clinical Immunology, vol. 111 no. 2 (2003), pp. 328-336
  304. Dunson, DB; Chulada, P; Jr, SJA, Bayesian modeling of time-varying and waning exposure effects, Biometrics, vol. 59 no. 1 (2003), pp. 83-91
  305. Stanford, JB; Smith, KR; Dunson, DB, Vulvar mucus observations and the probability of pregnancy, Obstetrics and Gynecology, vol. 101 no. 6 (2003), pp. 1285-1293
  306. Dunson, DB; Chen, Z; Harry, J, A Bayesian approach for joint modeling of cluster size and subunit-specific outcomes, Biometrics, vol. 59 no. 3 (2003), pp. 521-530
  307. Dunson, DB; Watson, M; Taylor, JA, Bayesian latent variable models for median regression on multiple outcomes, Biometrics, vol. 59 no. 2 (2003), pp. 296-304
  308. Dunson, DB; Neelon, B, Bayesian inference on order-constrained parameters in generalized linear models, Biometrics, vol. 59 no. 2 (2003), pp. 286-295
  309. Dunson, DB; Herring, AH, Bayesian Inferences in the Cox Model for Order-Restricted Hypotheses, Biometrics, vol. 59 no. 4 (2003), pp. 916-923
  310. Chen, Z; Dunson, DB, Random Effects Selection in Linear Mixed Models, Biometrics, vol. 59 no. 4 (2003), pp. 762-769
  311. Dunson, DB; Colombo, B; Baird, DD, Changes with age in the level and duration of fertility in the menstrual cycle., Human Reproduction, vol. 17 no. 5 (May, 2002), pp. 1399-1403, ISSN 0268-1161
  312. 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: an International Journal, vol. 8 no. 6 (May, 2002), pp. 1421-1444, Informa UK Limited, ISSN 1080-7039
  313. Dunson, DB; Colombo, B, TwoDay Algorithm in predicting fertile time (multiple letters), Human Reproduction, vol. 17 no. 7 (2002), pp. 1925-1926, ISSN 0268-1161
  314. Dunson, DB; Dinse, GE, Bayesian models for multivariate current status data with informative censoring, Biometrics, vol. 58 no. 1 (2002), pp. 79-88, ISSN 0006-341X
  315. Dunson, DB; Baird, DD, A proportional hazards model for incidence and induced remission of disease, Biometrics, vol. 58 no. 1 (2002), pp. 71-78, ISSN 0006-341X
  316. Dollé, MET; Snyder, WK; Dunson, DB; Vijg, J, Mutational fingerprints of aging, Nucleic Acids Research, vol. 30 no. 2 (2002), pp. 545-549, ISSN 0305-1048
  317. 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 (2002), pp. 3395-3401
  318. Dunson, DB; Baird, DD, Bayesian modeling of incidence and progression of disease from cross-sectional data, Biometrics, vol. 58 no. 4 (2002), pp. 813-822
  319. 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
  320. 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
  321. 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., The Journal of Infectious Diseases, vol. 184 no. 2 (July, 2001), pp. 127-135, ISSN 0022-1899
  322. Dunson, DB, Commentary: practical advantages of Bayesian analysis of epidemiologic data., American Journal of Epidemiology, vol. 153 no. 12 (June, 2001), pp. 1222-1226
  323. 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
  324. 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
  325. 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
  326. 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
  327. Dunson, DB; Sinai, I; Colombo, B, The relationship between cervical secretions and the daily probabilities of pregnancy: Effectiveness of the TwoDay Algorithm, Human Reproduction, vol. 16 no. 11 (2001), pp. 2278-2282, ISSN 0268-1161
  328. Dunson, DB, Bayesian modeling of the level and duration of fertility in the menstrual cycle, Biometrics, vol. 57 no. 4 (2001), pp. 1067-1073
  329. Dunson, DB; Perreault, SD, Factor analytic models of clustered multivariate data with informative censoring, Biometrics, vol. 57 no. 1 (2001), pp. 302-308, ISSN 0006-341X
  330. 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 (2001), pp. 965-978, ISSN 0277-6715
  331. Dunson, DB; Baird, DD, A flexible parametric model for combining current status and age at first diagnosis data, Biometrics, vol. 57 no. 2 (2001), pp. 396-403
  332. 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
  333. 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
  334. Dunson, DB; Haseman, JK; van Birgelen, AP; Stasiewicz, S; Tennant, RW, Statistical analysis of skin tumor data from Tg.AC mouse bioassays., Toxicological Sciences, vol. 55 no. 2 (June, 2000), pp. 293-302
  335. 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
  336. 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
  337. 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
  338. Dunson, DB; Weinberg, CR, Modeling human fertility in the presence of measurement error, Biometrics, vol. 56 no. 1 (2000), pp. 288-292, ISSN 0006-341X
  339. 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
  340. Dunson, DB; Dinse, GE, Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments, Biometrics, vol. 56 no. 4 (2000), pp. 1068-1075
  341. Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra, Genetics, vol. 156 no. 3 (2000), pp. 1411-1418
  342. Dunson, DB, Assessing overall risk in reproductive experiments, Risk Analysis, vol. 20 no. 4 (2000), pp. 429-437
  343. 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. 661-661, JSTOR
  344. 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, vol. 14 no. 7 (1999), pp. 1835-1839, ISSN 0268-1161
  345. Dunson, DB; Weinberg, CR; Perreault, SD; Chapin, RE, Summarizing the motion of self-propelled cells: Applications to sperm motility, Biometrics, vol. 55 no. 2 (1999), pp. 537-543, ISSN 0006-341X
  346. Dunson, DB; Haseman, JK, Modeling tumor onset and multiplicity using transition models with latent variables, Biometrics, vol. 55 no. 3 (1999), pp. 965-970, ISSN 0006-341X
  347. 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. 235-235, JSTOR
  348. Dunson, DB, Dose-dependent number of implants and implications in developmental toxicity, Biometrics, vol. 54 no. 2 (1998), pp. 558-569, ISSN 0006-341X

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; 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
  2. Weinberg, CR; Dunson, DB, Some issues in assessing human fertility, in Statistics in the 21st Century (January, 2001), pp. 42-49, ISBN 1584882727