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. 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
  2. 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
  3. 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
  4. 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 (July, 1999), pp. 1835-1839, ISSN 0268-1161
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra., Genetics, vol. 156 no. 3 (November, 2000), pp. 1411-1418
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. Dunson, DB, Commentary: practical advantages of Bayesian analysis of epidemiologic data., American Journal of Epidemiology, vol. 153 no. 12 (June, 2001), pp. 1222-1226
  26. 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
  27. 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
  28. 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
  29. 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 (November, 2001), pp. 2278-2282, ISSN 0268-1161
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. Mikolajczyk, R, TwoDay Algorithm in predicting fertile time., Human Reproduction, vol. 17 no. 7 (July, 2002), pp. 1925, ISSN 0268-1161
  37. 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 (October, 2002), pp. 1421-1444, Informa UK Limited, ISSN 1080-7039
  38. 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
  39. 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
  40. 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., Journal of Allergy and Clinical Immunology, vol. 111 no. 2 (February, 2003), pp. 328-336
  41. 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
  42. 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
  43. Baird, DD; Dunson, DB, Why is parity protective for uterine fibroids?, Epidemiology (Cambridge, Mass.), vol. 14 no. 2 (March, 2003), pp. 247-250
  44. 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
  45. 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
  46. 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
  47. Dunson, DB; Neelon, B, Bayesian inference on order-constrained parameters in generalized linear models., Biometrics, vol. 59 no. 2 (June, 2003), pp. 286-295
  48. 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
  49. 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
  50. Dunson, DB; Herring, AH, Bayesian inferences in the Cox model for order-restricted hypotheses., Biometrics, vol. 59 no. 4 (December, 2003), pp. 916-923
  51. Chen, Z; Dunson, DB, Random effects selection in linear mixed models., Biometrics, vol. 59 no. 4 (December, 2003), pp. 762-769
  52. 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
  53. 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
  54. 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
  55. 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
  56. Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis., Biometrics, vol. 60 no. 2 (June, 2004), pp. 398-406
  57. Chen, Z; Dunson, DB, Bayesian estimation of survival functions under stochastic precedence., Lifetime Data Analysis, vol. 10 no. 2 (June, 2004), pp. 159-173
  58. Dunson, DB; Chen, Z, Selecting factors predictive of heterogeneity in multivariate event time data., Biometrics, vol. 60 no. 2 (June, 2004), pp. 352-358
  59. 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
  60. 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
  61. 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
  62. O'Brien, SM; Dunson, DB, Bayesian multivariate logistic regression., Biometrics, vol. 60 no. 3 (September, 2004), pp. 739-746, ISSN 0006-341X
  63. 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
  64. Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes., Biostatistics (Oxford, England), vol. 6 no. 1 (January, 2005), pp. 11-25
  65. 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
  66. Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities., Biometrics, vol. 61 no. 1 (March, 2005), pp. 126-133
  67. 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
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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)
  74. 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
  75. Dunson, DB, Bayesian Biostatistics, Handbook of Statistics, vol. 25 (December, 2005), pp. 743-761, Elsevier, ISSN 0169-7161
  76. Hans, C; Dunson, DB, Bayesian inferences on umbrella orderings., Biometrics, vol. 61 no. 4 (December, 2005), pp. 1018-1026, ISSN 0006-341X
  77. 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
  78. 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
  79. 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
  80. Chen, Z; Dunson, DB, The authors replied as follows [2], Biometrics, vol. 62 no. 2 (June, 2006), pp. 623-624, WILEY, ISSN 0006-341X
  81. 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
  82. 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
  83. Dunson, DB, Bayesian dynamic modeling of latent trait distributions., Biostatistics (Oxford, England), vol. 7 no. 4 (October, 2006), pp. 551-568, ISSN 1465-4644
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. 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
  91. 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
  92. Dunson, DB, Empirical bayes density regression, Statistica Sinica, vol. 17 no. 2 (April, 2007), pp. 481-504, ISSN 1017-0405
  93. 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
  94. 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
  95. 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
  96. 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
  97. Bigelow, JL; Dunson, DB, Bayesian adaptive regression splines for hierarchical data., Biometrics, vol. 63 no. 3 (September, 2007), pp. 724-732, ISSN 0006-341X
  98. 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
  99. 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
  100. 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
  101. Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling (December, 2007), pp. 163-188, Elsevier
  102. 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
  103. Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation, Biometrika, vol. 96 (2008), pp. 149-162
  104. Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion), Journal of the American Statistical Association (2008)
  105. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 103 no. 481 (March, 2008), pp. 40-41, Informa UK Limited, ISSN 0162-1459
  106. 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
  107. 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
  108. 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
  109. 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
  110. 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
  111. 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
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets, Statistics & Probability Letters (2009)
  120. 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
  121. 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
  122. 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
  123. Dunson, DB, Nonparametric Bayes local partition models for random effects., Biometrika, vol. 96 no. 2 (January, 2009), pp. 249-262, ISSN 0006-3444
  124. 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
  125. 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
  126. Dunson, DB, Bayesian nonparametric hierarchical modeling., Biometrical Journal. Biometrische Zeitschrift, vol. 51 no. 2 (April, 2009), pp. 273-284
  127. 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
  128. 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
  129. 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
  130. 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
  131. Ren, L; Dunson, DB; Lindroth, S; Carin, L, Music analysis with a Bayesian dynamic model, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (September, 2009), pp. 1681-1684, IEEE, ISSN 1520-6149
  132. 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
  133. 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
  134. 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
  135. 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
  136. Wang, C; Liao, X; Carin, L; Dunson, DB, Classification with Incomplete Data Using Dirichlet Process Priors., Journal of Machine Learning Research, vol. 11 (March, 2010), pp. 3269-3311, ISSN 1532-4435
  137. 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
  138. Wang, L; Dunson, DB, Semiparametric bayes multiple testing: applications to tumor data., Biometrics, vol. 66 no. 2 (June, 2010), pp. 493-501, ISSN 0006-341X
  139. Maclehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage., Biometrics, vol. 66 no. 2 (June, 2010), pp. 455-462, ISSN 0006-341X
  140. 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
  141. 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
  142. Park, JH; Dunson, DB, Bayesian generalized product partition model, Statistica Sinica, vol. 20 no. 3 (July, 2010), pp. 1203-1226, ISSN 1017-0405
  143. 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
  144. 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
  145. 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
  146. Dunson, DB, MULTIVARIATE KERNEL PARTITION PROCESS MIXTURES., Statistica Sinica, vol. 20 no. 4 (October, 2010), pp. 1395-1422, ISSN 1017-0405
  147. 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
  148. 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
  149. 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
  150. 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)
  151. 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
  152. 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
  153. 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
  154. 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
  155. 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
  156. 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
  157. 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
  158. 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
  159. 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 (January, 2011), pp. 1259-1279, ISSN 0162-1459
  160. 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
  161. 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
  162. 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
  163. 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
  164. 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
  165. 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
  166. 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
  167. 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
  168. 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., Journal of Neuroscience, vol. 31 no. 17 (April, 2011), pp. 6449-6456
  169. Page, GL; Dunson, DB, Bayesian Local Contamination Models for Multivariate Outliers., Technometrics, vol. 53 no. 2 (May, 2011), pp. 152-162, ISSN 0040-1706
  170. 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
  171. Bhattacharya, A; Dunson, DB, Sparse Bayesian infinite factor models., Biometrika, vol. 98 no. 2 (June, 2011), pp. 291-306, ISSN 0006-3444
  172. 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
  173. 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
  174. 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
  175. 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
  176. 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
  177. 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
  178. Wang, L; Dunson, DB, Bayesian isotonic density regression., Biometrika, vol. 98 no. 3 (September, 2011), pp. 537-551, ISSN 0006-3444
  179. 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
  180. 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
  181. 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
  182. 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
  183. 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)
  184. 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)
  185. 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
  186. 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
  187. 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
  188. 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
  189. 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
  190. 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
  191. 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
  192. 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
  193. 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
  194. 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
  195. 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
  196. 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
  197. 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
  198. Petralia, F; Rao, V; Dunson, DB, Repulsive mixtures, Advances in Neural Information Processing Systems, vol. 3 (December, 2012), pp. 1889-1897, ISSN 1049-5258
  199. Fox, EB; Dunson, DB, Multiresolution Gaussian processes, Advances in Neural Information Processing Systems, vol. 1 (December, 2012), pp. 737-745, ISSN 1049-5258
  200. 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
  201. 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
  202. 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
  203. 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
  204. 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
  205. 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
  206. Banerjee, A; Dunson, DB; Tokdar, ST, Efficient Gaussian process regression for large datasets, Biometrika, vol. 100 no. 1 (2013), pp. 75-89
  207. Petralia, F; Vogelstein, J; Dunson, DB, Multiscale dictionary learning for estimating conditional distributions, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258
  208. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258
  209. 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
  210. 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
  211. Armagan, A; Dunson, DB; Lee, J, GENERALIZED DOUBLE PARETO SHRINKAGE., Statistica Sinica, vol. 23 no. 1 (January, 2013), pp. 119-143, ISSN 1017-0405
  212. 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)
  213. Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 29-38
  214. 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
  215. 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
  216. 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
  217. 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
  218. 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
  219. 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
  220. 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
  221. 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
  222. Salazar, E; Dunson, DB; Carin, L, Analysis of space-time relational data with application to legislative voting, Computational Statistics & Data Analysis, vol. 68 (July, 2013), pp. 141-154, Elsevier BV, ISSN 0167-9473
  223. Lock, EF; Dunson, DB, Bayesian consensus clustering., Bioinformatics (Oxford, England), vol. 29 no. 20 (October, 2013), pp. 2610-2616
  224. Hannah, LA; Dunson, DB, Multivariate Convex Regression with Adaptive Partitioning, Journal of Machine Learning Research, vol. 14 (November, 2013), pp. 3261-3294, MICROTOME PUBL, ISSN 1532-4435
  225. 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
  226. 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
  227. 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
  228. 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)
  229. 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
  230. 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
  231. 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
  232. 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
  233. 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
  234. 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
  235. 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
  236. 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 (January, 2014), pp. 1102-1130, Institute of Mathematical Statistics, ISSN 0090-5364
  237. 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
  238. 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
  239. 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
  240. 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
  241. 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
  242. 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
  243. 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
  244. Bhattacharya, A; Pati, D; Dunson, D, Anisotropic function estimation using multi-bandwidth Gaussian processes, The Annals of Statistics, vol. 42 no. 1 (January, 2014), pp. 352-381, Institute of Mathematical Statistics
  245. Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks, Journal of Machine Learning Research, vol. 33 (January, 2014), pp. 194-201
  246. 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
  247. 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
  248. 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
  249. 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
  250. 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
  251. 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
  252. 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
  253. 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
  254. 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
  255. 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
  256. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 890-891, Informa UK Limited, ISSN 0162-1459
  257. 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
  258. 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
  259. 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)
  260. 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 (2015), pp. 76, FRONTIERS MEDIA SA
  261. Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference (2015)
  262. 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
  263. 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
  264. 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
  265. 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
  266. 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
  267. 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
  268. 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
  269. 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
  270. 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
  271. Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence, Biometrika, vol. 103 no. 1 (January, 2015), pp. 35-47, Oxford University Press (OUP)
  272. 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
  273. 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
  274. 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
  275. 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
  276. 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
  277. Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression, Journal of Machine Learning Research, vol. 16 (December, 2015), pp. 2501-2542
  278. 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
  279. Lock, EF; Dunson, DB, Shared kernel Bayesian screening., Biometrika, vol. 102 no. 4 (December, 2015), pp. 829-842
  280. 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
  281. 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 (2016), pp. 197
  282. 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
  283. 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
  284. 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
  285. 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
  286. Yang, Y; Dunson, DB, Bayesian manifold regression, The Annals of Statistics, vol. 44 no. 2 (April, 2016), pp. 876-905, Institute of Mathematical Statistics
  287. 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
  288. 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
  289. 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
  290. Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression, Journal of Machine Learning Research, vol. 17 (May, 2016)
  291. 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
  292. Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling., Biometrika, vol. 103 no. 2 (June, 2016), pp. 319-335
  293. Canale, A; Dunson, DB, Multiscale bernstein polynomials for densities, Statistica Sinica, vol. 26 no. 3 (July, 2016), pp. 1175-1195, Institute of Statistical Science
  294. 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
  295. 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
  296. 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)
  297. 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
  298. 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
  299. 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
  300. 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
  301. Datta, J; Dunson, DB, Bayesian inference on quasi-sparse count data., Biometrika, vol. 103 no. 4 (December, 2016), pp. 971-983
  302. 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
  303. Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (January, 2017), pp. 1516-1530, AMER STATISTICAL ASSOC
  304. 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
  305. 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
  306. Dunson, DB, Toward automated prior choice, Statistical Science, vol. 32 no. 1 (February, 2017), pp. 41-43, Institute of Mathematical Statistics
  307. 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
  308. 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
  309. 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
  310. 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
  311. 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
  312. 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
  313. 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
  314. 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
  315. 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
  316. 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
  317. 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
  318. Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian network-response regression., Bioinformatics (Oxford, England), vol. 33 no. 12 (June, 2017), pp. 1859-1866
  319. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression, Journal of Machine Learning Research, vol. 18 (August, 2017), pp. 1-31
  320. 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)
  321. 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
  322. Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis., Biometrika, vol. 104 no. 3 (September, 2017), pp. 649-663
  323. 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
  324. 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
  325. 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
  326. 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)
  327. 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
  328. Wheeler, MW; Dunson, DB; Herring, AH, Bayesian Local Extremum Splines., Biometrika, vol. 104 no. 4 (December, 2017), pp. 939-952, Oxford University Press (OUP)
  329. 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
  330. Miller, JW; Dunson, DB, Robust Bayesian Inference via Coarsening, Journal of the American Statistical Association (January, 2018), pp. 1-13, Informa UK Limited
  331. Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data, Journal of the American Statistical Association (January, 2018)
  332. 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
  333. 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
  334. Dunson, DB, Statistics in the big data era: Failures of the machine, Statistics & Probability Letters, vol. 136 (May, 2018), pp. 4-9, Elsevier BV
  335. 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
  336. Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage., Biometrika, vol. 105 no. 2 (June, 2018), pp. 431-446
  337. 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
  338. 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
  339. 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
  340. 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
  341. Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration, Journal of Machine Learning Research, vol. 19 (October, 2018)
  342. 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
  343. 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
  344. Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment., Biometrics, vol. 74 no. 4 (December, 2018), pp. 1331-1340
  345. Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions, Journal of the American Statistical Association (January, 2019)
  346. 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
  347. 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
  348. 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
  349. 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

Papers Submitted

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

Chapters

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