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Publications of David B. Dunson    :chronological  alphabetical  combined  bibtex listing:

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Papers Published

  1. 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 [doi]  [abs]
  2. Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment., Biometrics, vol. 74 no. 4 (December, 2018), pp. 1331-1340 [doi]  [abs]
  3. Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax, Journal of the American Statistical Association, vol. 113 no. 524 (October, 2018), pp. 1515-1527, Informa UK Limited [doi]  [abs]
  4. 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 [doi]  [abs]
  5. Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration, Journal of Machine Learning Research, vol. 19 (October, 2018)  [abs]
  6. Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space, Journal of Machine Learning Research, vol. 19 (August, 2018), pp. 1-35  [abs]
  7. 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 [doi]
  8. 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 [doi]  [abs]
  9. 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 [doi]  [abs]
  10. Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage., Biometrika, vol. 105 no. 2 (June, 2018), pp. 431-446 [doi]  [abs]
  11. Dunson, DB, Statistics in the big data era: Failures of the machine, Statistics & Probability Letters, vol. 136 (May, 2018), pp. 4-9, Elsevier BV [doi]  [abs]
  12. Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping population-based structural connectomes., Neuroimage, vol. 172 (May, 2018), pp. 130-145 [doi]  [abs]
  13. van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, G-O; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries., Diabetes Care, vol. 41 no. 4 (April, 2018), pp. 782-788 [doi]  [abs]
  14. Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from two-photon imaging data., Plos One, vol. 13 no. 5 (January, 2018), pp. e0196527 [doi]  [abs]
  15. Miller, JW; Dunson, DB, Robust Bayesian Inference via Coarsening, Journal of the American Statistical Association (January, 2018), pp. 1-13, Informa UK Limited [doi]  [abs]
  16. Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data, Journal of the American Statistical Association (January, 2018) [doi]  [abs]
  17. Durante, D; Dunson, DB, Bayesian inference and testing of group differences in brain networks, Bayesian Analysis, vol. 13 no. 1 (January, 2018), pp. 29-58, Institute of Mathematical Statistics [doi]  [abs]
  18. Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Robust and scalable bayes via a median of subset posterior measures, Journal of Machine Learning Research, vol. 18 (December, 2017), pp. 1-40  [abs]
  19. Wheeler, MW; Dunson, DB; Herring, AH, Bayesian Local Extremum Splines., Biometrika, vol. 104 no. 4 (December, 2017), pp. 939-952, Oxford University Press (OUP)  [abs]
  20. Shang, Y; Dunson, D; Song, JS, Exploiting big data in logistics risk assessment via Bayesian nonparametrics, Operations Research, vol. 65 no. 6 (November, 2017), pp. 1574-1588, Institute for Operations Research and the Management Sciences (INFORMS) [doi]  [abs]
  21. Durante, D; Dunson, DB; Vogelstein, JT, Rejoinder: Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (October, 2017), pp. 1547-1552, Informa UK Limited [doi]
  22. Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (October, 2017), pp. 1516-1530, Informa UK Limited [doi]  [abs]
  23. Reddy, A; Zhang, J; Davis, NS; Moffitt, AB; Love, CL; Waldrop, A; Leppa, S; Pasanen, A; Meriranta, L; Karjalainen-Lindsberg, M-L; Nørgaard, P; Pedersen, M; Gang, AO; Høgdall, E; Heavican, TB; Lone, W; Iqbal, J; Qin, Q; Li, G; Kim, SY; Healy, J; Richards, KL; Fedoriw, Y; Bernal-Mizrachi, L; Koff, JL; Staton, AD; Flowers, CR; Paltiel, O; Goldschmidt, N; Calaminici, M; Clear, A; Gribben, J; Nguyen, E; Czader, MB; Ondrejka, SL; Collie, A; Hsi, ED; Tse, E; Au-Yeung, RKH; Kwong, Y-L; Srivastava, G; Choi, WWL; Evens, AM; Pilichowska, M; Sengar, M; Reddy, N; Li, S; Chadburn, A; Gordon, LI; Jaffe, ES; Levy, S; Rempel, R; Tzeng, T; Happ, LE; Dave, T; Rajagopalan, D; Datta, J; Dunson, DB; Dave, SS, Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma., Cell, vol. 171 no. 2 (October, 2017), pp. 481-494.e15 [doi]  [abs]
  24. Li, C; Srivastava, S; Dunson, DB, Simple, scalable and accurate posterior interval estimation, Biometrika, vol. 104 no. 3 (September, 2017), pp. 665-680, Oxford University Press (OUP) [doi]  [abs]
  25. Lock, EF; Dunson, DB, Bayesian genome- and epigenome-wide association studies with gene level dependence., Biometrics, vol. 73 no. 3 (September, 2017), pp. 1018-1028 [doi]  [abs]
  26. Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis., Biometrika, vol. 104 no. 3 (September, 2017), pp. 649-663 [doi]  [abs]
  27. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression, Journal of Machine Learning Research, vol. 18 (August, 2017), pp. 1-31  [abs]
  28. 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 [doi]  [abs]
  29. Zhu, B; Dunson, DB, Bayesian functional data modeling for heterogeneous volatility, Bayesian Analysis, vol. 12 no. 2 (June, 2017), pp. 335-350, Institute of Mathematical Statistics [doi]  [abs]
  30. Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian network-response regression., Bioinformatics (Oxford, England), vol. 33 no. 12 (June, 2017), pp. 1859-1866 [doi]  [abs]
  31. Ovaskainen, O; Tikhonov, G; Norberg, A; Guillaume Blanchet, F; Duan, L; Dunson, D; Roslin, T; Abrego, N, How to make more out of community data? A conceptual framework and its implementation as models and software., Ecology Letters, vol. 20 no. 5 (May, 2017), pp. 561-576 [doi]  [abs]
  32. 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 [doi]  [abs]
  33. 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 [doi]  [abs]
  34. Durante, D; Paganin, S; Scarpa, B; Dunson, DB, Bayesian modelling of networks in complex business intelligence problems, Journal of the Royal Statistical Society. Series C, Applied Statistics, vol. 66 no. 3 (April, 2017), pp. 555-580, WILEY [doi]  [abs]
  35. 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 [doi]  [abs]
  36. Tikhonov, G; Abrego, N; Dunson, D; Ovaskainen, O, Using joint species distribution models for evaluating how species-to-species associations depend on the environmental context, edited by Warton, D, Methods in Ecology and Evolution, vol. 8 no. 4 (April, 2017), pp. 443-452, WILEY [doi]  [abs]
  37. Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the stiefel manifold, Statistica Sinica, vol. 27 no. 2 (April, 2017), pp. 535-553, Institute of Statistical Science [doi]  [abs]
  38. Dunson, DB, Toward automated prior choice, Statistical Science, vol. 32 no. 1 (February, 2017), pp. 41-43, Institute of Mathematical Statistics [doi]
  39. Abrego, N; Dunson, D; Halme, P; Salcedo, I; Ovaskainen, O, Wood-inhabiting fungi with tight associations with other species have declined as a response to forest management, Oikos, vol. 126 no. 2 (February, 2017), WILEY [doi]
  40. 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 [doi]  [abs]
  41. Lin, L; St Thomas, B; Zhu, H; Dunson, DB, Extrinsic local regression on manifold-valued data., Journal of the American Statistical Association, vol. 112 no. 519 (January, 2017), pp. 1261-1273 [doi]  [abs]
  42. Dunson, D; Fryzlewicz, P, Report of the editors-2016, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 79 no. 1 (January, 2017), pp. 3-4 [doi]
  43. 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 [doi]
  44. Datta, J; Dunson, DB, Bayesian inference on quasi-sparse count data., Biometrika, vol. 103 no. 4 (December, 2016), pp. 971-983 [doi]  [abs]
  45. Bhattacharya, A; Dunson, DB; Pati, D; Pillai, NS, Sub-optimality of some continuous shrinkage priors, Stochastic Processes and Their Applications, vol. 126 no. 12 (December, 2016), pp. 3828-3842, Elsevier BV [doi]  [abs]
  46. 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 [doi]
  47. Zhu, H; Strawn, N; Dunson, DB, Bayesian graphical models for multivariate functional data, Journal of Machine Learning Research, vol. 17 (October, 2016), pp. 1-27  [abs]
  48. Sarkar, A; Dunson, DB, Bayesian Nonparametric Modeling of Higher Order Markov Chains, Journal of the American Statistical Association, vol. 111 no. 516 (October, 2016), pp. 1791-1803, Informa UK Limited [doi]  [abs]
  49. Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing cradle artifacts in X-ray images of paintings, Siam Journal on Imaging Sciences, vol. 9 no. 3 (August, 2016), pp. 1247-1272, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  50. Li, D; Heyer, L; Jennings, VH; Smith, CA; Dunson, DB, Personalised estimation of a woman's most fertile days., The European Journal of Contraception & Reproductive Health Care : the Official Journal of the European Society of Contraception, vol. 21 no. 4 (August, 2016), pp. 323-328 [doi]  [abs]
  51. Canale, A; Dunson, DB, Multiscale bernstein polynomials for densities, Statistica Sinica, vol. 26 no. 3 (July, 2016), pp. 1175-1195, Institute of Statistical Science [doi]  [abs]
  52. Hultman, R; Mague, SD; Li, Q; Katz, BM; Michel, N; Lin, L; Wang, J; David, LK; Blount, C; Chandy, R; Carlson, D; Ulrich, K; Carin, L; Dunson, D; Kumar, S; Deisseroth, K; Moore, SD; Dzirasa, K, Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology., Neuron, vol. 91 no. 2 (July, 2016), pp. 439-452 [doi]  [abs]
  53. Kunihama, T; Herring, AH; Halpern, CT; Dunson, DB, Nonparametric Bayes modeling with sample survey weights, Statistics & Probability Letters, vol. 113 (June, 2016), pp. 41-48, Elsevier BV [doi]  [abs]
  54. Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling., Biometrika, vol. 103 no. 2 (June, 2016), pp. 319-335 [doi]  [abs]
  55. Ovaskainen, O; Abrego, N; Halme, P; Dunson, D, Using latent variable models to identify large networks of species-to-species associations at different spatial scales, edited by Warton, D, Methods in Ecology and Evolution, vol. 7 no. 5 (May, 2016), pp. 549-555, WILEY [doi]  [abs]
  56. Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression, Journal of Machine Learning Research, vol. 17 (May, 2016)  [abs]
  57. 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 [doi]  [abs]
  58. 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 [doi]  [abs]
  59. Yang, Y; Dunson, DB, Bayesian manifold regression, The Annals of Statistics, vol. 44 no. 2 (April, 2016), pp. 876-905, Institute of Mathematical Statistics [doi]  [abs]
  60. Zhou, J; Herring, AH; Bhattacharya, A; Olshan, AF; Dunson, DB; National Birth Defects Prevention Study, , Nonparametric Bayes modeling for case control studies with many predictors., Biometrics, vol. 72 no. 1 (March, 2016), pp. 184-192 [doi]  [abs]
  61. Tang, K; Dunson, DB; Su, Z; Liu, R; Zhang, J; Dong, J, Subspace segmentation by dense block and sparse representation., Neural Networks : the Official Journal of the International Neural Network Society, vol. 75 (March, 2016), pp. 66-76 [doi]  [abs]
  62. 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 [doi]  [abs]
  63. Wang, X; Dunson, D; Leng, C, No penalty no tears: Least squares in high-dimensional linear models, 33rd International Conference on Machine Learning, Icml 2016, vol. 4 (January, 2016), pp. 2685-2706, ISBN 9781510829008  [abs]
  64. Wang, X; Dunson, D; Leng, C, DECOrrelated feature space partitioning for distributed sparse regression, Advances in Neural Information Processing Systems (January, 2016), pp. 802-810  [abs]
  65. Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression, Journal of Machine Learning Research, vol. 16 (December, 2015), pp. 2501-2542  [abs]
  66. Yazdani, A; Dunson, DB, A hybrid bayesian approach for genome-wide association studies on related individuals., Bioinformatics (Oxford, England), vol. 31 no. 24 (December, 2015), pp. 3890-3896 [doi]  [abs]
  67. Lock, EF; Dunson, DB, Shared kernel Bayesian screening., Biometrika, vol. 102 no. 4 (December, 2015), pp. 829-842 [doi]  [abs]
  68. Bhattacharya, A; Pati, D; Pillai, NS; Dunson, DB, Dirichlet-Laplace priors for optimal shrinkage., Journal of the American Statistical Association, vol. 110 no. 512 (December, 2015), pp. 1479-1490 [doi]  [abs]
  69. Guhaniyogi, R; Dunson, DB, Bayesian Compressed Regression, Journal of the American Statistical Association, vol. 110 no. 512 (October, 2015), pp. 1500-1514, Informa UK Limited [doi]  [abs]
  70. 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 [doi]  [abs]
  71. Guo, F; Dunson, DB, Uncovering systematic bias in ratings across categories: A Bayesian approach, Recsys 2015 Proceedings of the 9th Acm Conference on Recommender Systems (September, 2015), pp. 317-320, ISBN 9781450336925 [doi]  [abs]
  72. Hua, Z; Zhu, H; Dunson, DB, Semiparametric Bayes Local Additive Models for Longitudinal Data, Statistics in Biosciences, vol. 7 no. 1 (May, 2015), pp. 90-107, ISSN 1867-1764 [doi]  [abs]
  73. Li, D; Wilcox, AJ; Dunson, DB, Benchmark pregnancy rates and the assessment of post-coital contraceptives: an update., Contraception, vol. 91 no. 4 (April, 2015), pp. 344-349, ISSN 0010-7824 [doi]  [abs]
  74. 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 [doi]  [abs]
  75. 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 [repository], [doi]  [abs]
  76. Canale, A; Dunson, DB, Bayesian multivariate mixed-scale density estimation, Statistics and Its Interface, vol. 8 no. 2 (January, 2015), pp. 195-201, International Press of Boston, ISSN 1938-7989 [doi]  [abs]
  77. Kessler, DC; Hoff, PD; Dunson, DB, Marginally specified priors for non-parametric Bayesian estimation, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 77 no. 1 (January, 2015), pp. 35-58, ISSN 1369-7412 [doi]  [abs]
  78. Kessler, DC; Hoff, PD; Dunson, DB, Marginally specified priors for non-parametric Bayesian estimation., Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 77 no. 1 (January, 2015), pp. 35-58, ISSN 1369-7412 [doi]  [abs]
  79. Van Den Boom, W; Dunson, D; Reeves, G, Quantifying uncertainty in variable selection with arbitrary matrices, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 (January, 2015), pp. 385-388, ISBN 9781479919635 [doi]  [abs]
  80. Srivastava, S; Cevher, V; Tran-Dinh, Q; Dunson, DB, WASP: Scalable Bayes via barycenters of subset posteriors, Journal of Machine Learning Research, vol. 38 (January, 2015), pp. 912-920  [abs]
  81. Wang, X; Leng, C; Dunson, DB, On the consistency theory of high dimensional variable screening, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 2431-2439  [abs]
  82. Wang, X; Guo, F; Heller, KA; Dunson, DB, Parallelizing MCMC with random partition trees, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 451-459  [abs]
  83. Wang, Y; Dunson, D, Probabilistic curve learning: Coulomb repulsion and the electrostatic Gaussian process, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 1738-1746  [abs]
  84. Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence, Biometrika, vol. 103 no. 1 (January, 2015), pp. 35-47, Oxford University Press (OUP) [doi]  [abs]
  85. Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference (2015)  [abs]
  86. Durante, D; Dunson, DB, Nonparametric Bayes dynamic modelling of relational data, Biometrika, vol. 101 no. 4 (December, 2014), pp. 883-898, Oxford University Press (OUP) [doi]  [abs]
  87. Yang, H; Liu, F; Ji, C; Dunson, D, Adaptive sampling for Bayesian geospatial models, Statistics and Computing, vol. 24 no. 6 (November, 2014), pp. 1101-1110, Springer Nature, ISSN 0960-3174 [doi]  [abs]
  88. Gu, K; Pati, D; Dunson, DB, Bayesian Multiscale Modeling of Closed Curves in Point Clouds., Journal of the American Statistical Association, vol. 109 no. 508 (October, 2014), pp. 1481-1494, ISSN 0162-1459 [doi]  [abs]
  89. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 890-891, Informa UK Limited, ISSN 0162-1459 [doi]
  90. Wheeler, MW; Dunson, DB; Pandalai, SP; Baker, BA; Herring, AH, Mechanistic Hierarchical Gaussian Processes., Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 894-904, ISSN 0162-1459 [doi]  [abs]
  91. 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 [doi]
  92. 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 [doi]
  93. Kessler, DC; Taylor, JA; Dunson, DB, Learning phenotype densities conditional on many interacting predictors., Bioinformatics (Oxford, England), vol. 30 no. 11 (June, 2014), pp. 1562-1568, ISSN 1367-4803 [doi]  [abs]
  94. Zhang, J; Jima, D; Moffitt, AB; Liu, Q; Czader, M; Hsi, ED; Fedoriw, Y; Dunphy, CH; Richards, KL; Gill, JI; Sun, Z; Love, C; Scotland, P; Lock, E; Levy, S; Hsu, DS; Dunson, D; Dave, SS, The genomic landscape of mantle cell lymphoma is related to the epigenetically determined chromatin state of normal B cells., Blood, vol. 123 no. 19 (May, 2014), pp. 2988-2996, ISSN 0006-4971 [doi]  [abs]
  95. Kundu, S; Dunson, DB, Bayes variable selection in semiparametric linear models., Journal of the American Statistical Association, vol. 109 no. 505 (March, 2014), pp. 437-447, ISSN 0162-1459 [doi]  [abs]
  96. Cui, K; Dunson, DB, Generalized Dynamic Factor Models for Mixed-Measurement Time Series., Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 23 no. 1 (February, 2014), pp. 169-191, ISSN 1061-8600 [doi]  [abs]
  97. Pati, D; Dunson, DB, Bayesian nonparametric regression with varying residual density, Annals of the Institute of Statistical Mathematics, vol. 66 no. 1 (February, 2014), pp. 1-31, ISSN 0020-3157 [doi]  [abs]
  98. 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 [doi]
  99. Yin, R; Dunson, D; Cornelis, B; Brown, B; Ocon, N; Daubechies, I, Digital cradle removal in X-ray images of art paintings, 2014 Ieee International Conference on Image Processing, Icip 2014 (January, 2014), pp. 4299-4303, IEEE, ISBN 9781479957514 [doi]  [abs]
  100. Rai, P; Wang, Y; Guo, S; Chen, G; Dunson, D; Carin, L, Scalable bayesian low-rank decomposition of incomplete multiway tensors, 31st International Conference on Machine Learning, Icml 2014, vol. 5 (January, 2014), pp. 3810-3820, ISBN 9781634393973  [abs]
  101. Wang, X; Peng, P; Dunson, DB, Median selection subset aggregation for parallel inference, Advances in Neural Information Processing Systems, vol. 3 no. January (January, 2014), pp. 2195-2203, ISSN 1049-5258  [abs]
  102. Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Scalable and robust Bayesian inference via the median posterior, 31st International Conference on Machine Learning, Icml 2014, vol. 5 (January, 2014), pp. 3629-3639, ISBN 9781634393973  [abs]
  103. 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 [doi]  [abs]
  104. Kundu, S; Dunson, DB, Latent factor models for density estimation, Biometrika, vol. 101 no. 3 (January, 2014), pp. 641-654, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  105. Hannah, LA; Powell, WB; Dunson, DB, Semiconvex Regression for Metamodeling-Based Optimization, Siam Journal on Optimization, vol. 24 no. 2 (January, 2014), pp. 573-597, Society for Industrial & Applied Mathematics (SIAM), ISSN 1052-6234 [doi]
  106. 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 [doi]  [abs]
  107. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive factor processes for multivariate time series, Journal of Machine Learning Research, vol. 15 (January, 2014), pp. 1493-1522, ISSN 1532-4435  [abs]
  108. Lin, L; Dunson, DB, Bayesian monotone regression using Gaussian process projection, Biometrika, vol. 101 no. 2 (January, 2014), pp. 303-317, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  109. Xing, Z; Nicholson, B; Jimenez, M; Veldman, T; Hudson, L; Lucas, J; Dunson, D; Zaas, AK; Woods, CW; Ginsburg, GS; Carin, L, Bayesian modeling of temporal properties of infectious disease in a college student population, Journal of Applied Statistics, vol. 41 no. 6 (January, 2014), pp. 1358-1382, ISSN 0266-4763 [doi]  [abs]
  110. Wade, S; Dunson, DB; Petrone, S; Trippa, L, Improving prediction from dirichlet process mixtures via enrichment, Journal of Machine Learning Research, vol. 15 (January, 2014), pp. 1041-1071, ISSN 1532-4435  [abs]
  111. 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 [doi]  [abs]
  112. 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 [doi]
  113. Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks, Journal of Machine Learning Research, vol. 33 (January, 2014), pp. 194-201  [abs]
  114. Scarpa, B; Dunson, DB, Enriched Stick Breaking Processes for Functional Data., Journal of the American Statistical Association, vol. 109 no. 506 (January, 2014), pp. 647-660 [doi]  [abs]
  115. 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 & Mixture Modeling, vol. 61 no. 1 (January, 2014), pp. 41-54 [doi]  [abs]
  116. 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 [doi]
  117. Cornelis, B; Yang, Y; Vogelstein, JT; Dooms, A; Daubechies, I; Dunson, D, Bayesian crack detection in ultra high resolution multimodal images of paintings, 2013 18th International Conference on Digital Signal Processing, Dsp 2013 (December, 2013) [1304.5894v2], [doi]  [abs]
  118. Armagan, A; Dunson, DB; Lee, J; Bajwa, WU; Strawn, N, Posterior consistency in linear models under shrinkage priors, Biometrika, vol. 100 no. 4 (December, 2013), pp. 1011-1018, Oxford University Press (OUP), ISSN 0006-3444 [Gateway.cgi], [doi]  [abs]
  119. Canale, A; Dunson, DB, Nonparametric Bayes modelling of count processes, Biometrika, vol. 100 no. 4 (December, 2013), pp. 801-816, Oxford University Press (OUP), ISSN 0006-3444 [Gateway.cgi], [doi]
  120. 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 [doi]  [abs]
  121. 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  [abs]
  122. Li, D; Longnecker, MP; Dunson, DB, Lipid adjustment for chemical exposures: accounting for concomitant variables., Epidemiology (Cambridge, Mass.), vol. 24 no. 6 (November, 2013), pp. 921-928 [24051893], [doi]  [abs]
  123. Lock, EF; Dunson, DB, Bayesian consensus clustering., Bioinformatics (Oxford, England), vol. 29 no. 20 (October, 2013), pp. 2610-2616 [23990412], [doi]  [abs]
  124. 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 [Gateway.cgi], [doi]  [abs]
  125. 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 [23665878], [doi]  [abs]
  126. 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 [1111.0317v2], [doi]  [abs]
  127. Wang, E; Salazar, E; Dunson, D; Carin, L, Spatio-temporal modeling of legislation and votes, Bayesian Analysis, vol. 8 no. 1 (March, 2013), pp. 233-268, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]  [abs]
  128. 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 [doi]  [abs]
  129. 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 [23292937], [doi]  [abs]
  130. Petralia, F; Vogelstein, J; Dunson, DB, Multiscale dictionary learning for estimating conditional distributions, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258  [abs]
  131. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258  [abs]
  132. Zhu, B; Dunson, DB, Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes., Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), ISSN 0162-1459 [doi]  [abs]
  133. Kunihama, T; Dunson, DB, Bayesian modeling of temporal dependence in large sparse contingency tables., Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), pp. 1324-1338, ISSN 0162-1459 [doi]  [abs]
  134. Chen, B; Polatkan, G; Sapiro, G; Blei, D; Dunson, D; Carin, L, Deep Learning with Hierarchical Convolutional Factor Analysis., Ieee Transactions on Pattern Analysis and Machine Intelligence (January, 2013) [23319498]  [abs]
  135. Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 29-38  [abs]
  136. Banerjee, A; Murray, J; Dunson, DB, Bayesian learning of joint distributions of objects, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 1-9  [abs]
  137. 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 [doi]  [abs]
  138. Armagan, A; Dunson, DB; Lee, J, Generalized double pareto shrinkage, Statistica Sinica, vol. 23 no. 1 (2013), pp. 119-143, ISSN 1017-0405 [doi]  [abs]
  139. 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 [doi]  [abs]
  140. 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 [doi]  [abs]
  141. Banerjee, A; Dunson, DB; Tokdar, ST, Efficient Gaussian process regression for large datasets, Biometrika, vol. 100 no. 1 (2013), pp. 75-89 [1106.5779v1], [doi]  [abs]
  142. 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 [22825854], [doi]  [abs]
  143. Petralia, F; Rao, V; Dunson, DB, Repulsive mixtures, Advances in Neural Information Processing Systems, vol. 3 (December, 2012), pp. 1889-1897, ISSN 1049-5258  [abs]
  144. Ding, M; He, L; Dunson, D; Carin, L, Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process., Bayesian Analysis, vol. 7 no. 4 (December, 2012), pp. 813-840, ISSN 1931-6690 [Gateway.cgi], [doi]  [abs]
  145. 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 [23143597], [doi]  [abs]
  146. Montagna, S; Tokdar, ST; Neelon, B; Dunson, DB, Bayesian latent factor regression for functional and longitudinal data., Biometrics, vol. 68 no. 4 (December, 2012), pp. 1064-1073 [23005895], [doi]  [abs]
  147. Shterev, ID; Dunson, DB, Bayesian watermark attacks, Proceedings of the 29th International Conference on Machine Learning, Icml 2012, vol. 1 (October, 2012), pp. 695-702  [abs]
  148. Zhou, M; Li, L; Dunson, D; Carin, L, Lognormal and gamma mixed negative binomial regression, Proceedings of the 29th International Conference on Machine Learning, Icml 2012, vol. 2 (October, 2012), pp. 1343-1350 [repository]  [abs]
  149. Bhattacharya, A; Dunson, D, Nonparametric Bayes classification and hypothesis testing on manifolds, Journal of Multivariate Analysis, vol. 111 (October, 2012), pp. 1-19, Elsevier BV, ISSN 0047-259X [doi]  [abs]
  150. Bhattacharya, A; Dunson, DB, Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds., Annals of the Institute of Statistical Mathematics, vol. 64 no. 4 (August, 2012), pp. 687-714, ISSN 0020-3157 [doi]  [abs]
  151. Bhattacharya, A; Dunson, DB, Simplex Factor Models for Multivariate Unordered Categorical Data., Journal of the American Statistical Association, vol. 107 no. 497 (March, 2012), pp. 362-377, ISSN 0162-1459 [doi]  [abs]
  152. Zhou, M; Chen, H; Paisley, J; Ren, L; Li, L; Xing, Z; Dunson, D; Sapiro, G; Carin, L, Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images., Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 21 no. 1 (January, 2012), pp. 130-144 [21693421], [doi]  [abs]
  153. Dunson, DB; Xing, C, Nonparametric Bayes Modeling of Multivariate Categorical Data., Journal of the American Statistical Association, vol. 104 no. 487 (2009), pp. 1042-1051, ISSN 0162-1459 [doi]  [abs]
  154. 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 [doi]
  155. Fyshe, A; Fox, E; Dunson, D; Mitchell, T, Hierarchical latent dictionaries for models of brain activation, Journal of Machine Learning Research, vol. 22 (January, 2012), pp. 409-421  [abs]
  156. Zhou, M; Hannah, LA; Dunson, DB; Carin, L, Beta-negative binomial process and poisson factor analysis, Journal of Machine Learning Research, vol. 22 (January, 2012), pp. 1462-1471  [abs]
  157. Fox, EB; Dunson, DB, Multiresolution Gaussian processes, Advances in Neural Information Processing Systems, vol. 1 (2012), pp. 737-745, ISSN 1049-5258  [abs]
  158. 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 [doi]  [abs]
  159. 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  [abs]
  160. Canale, A; Dunson, DB, Bayesian Kernel Mixtures for Counts., Journal of the American Statistical Association, vol. 106 no. 496 (December, 2011), pp. 1528-1539, ISSN 0162-1459 [doi]  [abs]
  161. Zhang, XX; Dunson, DB; Carin, L, Hierarchical topic modeling for analysis of time-evolving personal choices, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, Nips 2011 (December, 2011)  [abs]
  162. Ren, L; Wang, Y; Dunson, D; Carin, L, The kernel beta process, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, Nips 2011 (December, 2011)  [abs]
  163. Zhou, M; Carin, L; Yang, H; Dunson, D; Sapiro, G, Dependent hierarchical beta process for image interpolation and denoising, Journal of Machine Learning Research, vol. 15 (December, 2011), pp. 883-891, ISSN 1532-4435  [abs]
  164. Hannah, LA; Dunson, DB, Approximate dynamic programming for storage problems, Proceedings of the 28th International Conference on Machine Learning, Icml 2011 (October, 2011), pp. 337-344  [abs]
  165. Chen, B; Polatkan, G; Sapiro, G; Dunson, DB; Carin, L, The hierarchical beta process for convolutional factor analysis and deep learning, Proceedings of the 28th International Conference on Machine Learning, Icml 2011 (October, 2011), pp. 361-368  [abs]
  166. 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 [22505787], [doi]  [abs]
  167. Wang, L; Dunson, DB, Semiparametric bayes' proportional odds models for current status data with underreporting., Biometrics, vol. 67 no. 3 (September, 2011), pp. 1111-1118, ISSN 0006-341X [doi]  [abs]
  168. 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 [doi]  [abs]
  169. 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 [doi]  [abs]
  170. Xing, C; Dunson, DB, Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions., Plos Computational Biology, vol. 7 no. 7 (July, 2011), pp. e1002110 [21829334], [doi]  [abs]
  171. Bhattacharya, A; Dunson, DB, Sparse Bayesian infinite factor models., Biometrika, vol. 98 no. 2 (June, 2011), pp. 291-306, ISSN 0006-3444 [23049129], [doi]  [abs]
  172. Page, GL; Dunson, DB, Bayesian Local Contamination Models for Multivariate Outliers., Technometrics, vol. 53 no. 2 (May, 2011), pp. 152-162, ISSN 0040-1706 [doi]  [abs]
  173. 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 [21525286], [doi]  [abs]
  174. Rodríguez, A; Dunson, DB, Nonparametric Bayesian models through probit stick-breaking processes., Bayesian Analysis, vol. 6 no. 1 (March, 2011), pp. 145-178, ISSN 1936-0975 [doi]  [abs]
  175. Chen, M; Silva, J; Paisley, J; Wang, C; Dunson, D; Carin, L, Erratum: Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: Algorithm and performance bounds (IEEE Transactions Signal Processing (2011)) 58,12 (6140-6155)), Ieee Transactions on Signal Processing, vol. 59 no. 3 (March, 2011), pp. 1329, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]
  176. Carin, L; Baraniuk, RG; Cevher, V; Dunson, D; Jordan, MI; Sapiro, G; Wakin, MB, Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements., Ieee Signal Processing Magazine, vol. 28 no. 2 (March, 2011), pp. 39-51, ISSN 1053-5888 [doi]  [abs]
  177. 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  [abs]
  178. 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
  179. 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 [doi]  [abs]
  180. Wang, L; Dunson, DB, Bayesian isotonic density regression, Biometrika, vol. 98 no. 3 (2011), pp. 537-551, ISSN 0006-3444 [doi]  [abs]
  181. 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  [abs]
  182. 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  [abs]
  183. 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  [abs]
  184. 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 [doi]  [abs]
  185. Zhou, M; Wang, C; Chen, M; Paisley, J; Dunson, D; Carin, L, Nonparametric bayesian matrix completion, 2010 Ieee Sensor Array and Multichannel Signal Processing Workshop, Sam 2010 (December, 2010), pp. 213-216, IEEE [doi]  [abs]
  186. Wang, E; Liu, D; Silva, J; Dunson, D; Carin, L, Joint analysis of time-evolving binary matrices and associated documents, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Nips 2010 (December, 2010)  [abs]
  187. 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 [doi]  [abs]
  188. Chen, B; Chen, M; Paisley, J; Zaas, A; Woods, C; Ginsburg, GS; Hero, A; Lucas, J; Dunson, D; Carin, L, Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies., Bmc Bioinformatics, vol. 11 (November, 2010), pp. 552 [21062443], [doi]  [abs]
  189. Blei, D; Carin, L; Dunson, D, Probabilistic Topic Models: A focus on graphical model design and applications to document and image analysis., Ieee Signal Processing Magazine, vol. 27 no. 6 (November, 2010), pp. 55-65, ISSN 1053-5888 [doi]  [abs]
  190. Yang, M; Dunson, DB; Baird, D, Semiparametric Bayes hierarchical models with mean and variance constraints., Computational Statistics & Data Analysis, vol. 54 no. 9 (September, 2010), pp. 2172-2186, ISSN 0167-9473 [doi]  [abs]
  191. 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 [doi]  [abs]
  192. 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
  193. 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 [doi]
  194. 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  [abs]
  195. Dunson, DB, Comment on article by Craigmile et al., Bayesian Analysis, vol. 4 no. 1 (December, 2009), pp. 41-44, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]
  196. 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 [doi]  [abs]
  197. Baird, DD; Travlos, G; Wilson, R; Dunson, DB; Hill, MC; D'Aloisio, AA; London, SJ; Schectman, JM, Uterine leiomyomata in relation to insulin-like growth factor-I, insulin, and diabetes., Epidemiology (Cambridge, Mass.), vol. 20 no. 4 (July, 2009), pp. 604-610, ISSN 1044-3983 [doi]  [abs]
  198. 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 (2009), pp. 306-320, ISSN 1061-8600 [doi]  [abs]
  199. Dunson, DB, Bayesian nonparametric hierarchical modeling., Biometrical Journal, vol. 51 no. 2 (April, 2009), pp. 273-284 [19358217], [doi]  [abs]
  200. 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 [doi]  [abs]
  201. Bigelow, JL; Dunson, DB, Bayesian semiparametric joint models for functional predictors, Journal of the American Statistical Association, vol. 104 no. 485 (2009), pp. 26-36, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  202. Ji, S; Dunson, D; Carin, L, Multitask compressive sensing, Ieee Transactions on Signal Processing, vol. 57 no. 1 (January, 2009), pp. 92-106, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]  [abs]
  203. Rodríguez, A; Dunson, DB; Gelfand, AE, Bayesian Nonparametric Functional Data Analysis Through Density Estimation., Biometrika, vol. 96 no. 1 (January, 2009), pp. 149-162, ISSN 0006-3444 [doi]  [abs]
  204. Dunson, DB, Nonparametric Bayes local partition models for random effects., Biometrika, vol. 96 no. 2 (2009), pp. 249-262, ISSN 0006-3444 [doi]  [abs]
  205. 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 [doi]  [abs]
  206. 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 [doi]  [abs]
  207. Dunson, DB; Peddada, SD, Bayesian nonparametric inference on stochastic ordering, Biometrika, vol. 95 no. 4 (2008), pp. 859-874, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  208. 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 (2008), pp. 1508-1517, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  209. 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  [abs]
  210. 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  [abs]
  211. 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  [abs]
  212. 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 [doi]  [abs]
  213. Rodríguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process: Rejoinder, Journal of the American Statistical Association, vol. 103 no. 483 (September, 2008), pp. 1153-1154, Informa UK Limited, ISSN 0162-1459 [doi]
  214. Ni, K; Paisley, J; Carin, L; Dunson, D, Multi-task learning for analyzing and sorting large databases of sequential data, Ieee Transactions on Signal Processing, vol. 56 no. 8 II (August, 2008), pp. 3918-3931, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]  [abs]
  215. 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 [doi]  [abs]
  216. 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 (2008), pp. 534-546, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  217. Dunson, DB; Park, JH, Kernel stick-breaking processes, Biometrika, vol. 95 no. 2 (2008), pp. 307-323, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  218. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 103 no. 481 (March, 2008), pp. 40-41, Informa UK Limited, ISSN 0162-1459 [doi]
  219. Dunson, DB; Xue, Y; Carin, L, The matrix stick-breaking process: Flexible Bayes meta-analysis, Journal of the American Statistical Association, vol. 103 no. 481 (March, 2008), pp. 317-327, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  220. Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation, Biometrika, vol. 96 (2008), pp. 149-162
  221. Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion), Journal of the American Statistical Association (2008)
  222. 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 [doi]  [abs]
  223. Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling (December, 2007), pp. 163-188, Elsevier [doi]  [abs]
  224. Cai, B; Dunson, DB, Bayesian multivariate isotonic regression splines: Applications to carcinogenicity studies, Journal of the American Statistical Association, vol. 102 no. 480 (December, 2007), pp. 1158-1171, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  225. 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 [17403104], [doi]  [abs]
  226. Bigelow, JL; Dunson, DB, Bayesian adaptive regression splines for hierarchical data., Biometrics, vol. 63 no. 3 (September, 2007), pp. 724-732, ISSN 0006-341X [17403106], [doi]  [abs]
  227. Xue, Y; Dunson, D; Carin, L, The matrix stick-breaking process for flexible multi-task learning, Acm International Conference Proceeding Series, vol. 227 (August, 2007), pp. 1063-1070, ACM Press [doi]  [abs]
  228. Ni, K; Carin, L; Dunson, D, Multi-task learning for sequential data via iHMMs and the nested Dirichlet process, Acm International Conference Proceeding Series, vol. 227 (August, 2007), pp. 689-696, ACM Press [doi]  [abs]
  229. Dunson, DB; Pillai, N; Park, JH, Bayesian density regression, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 69 no. 2 (April, 2007), pp. 163-183, WILEY, ISSN 1369-7412 [doi]  [abs]
  230. MacLehose, RF; Dunson, DB; Herring, AH; Hoppin, JA, Bayesian methods for highly correlated exposure data., Epidemiology (Cambridge, Mass.), vol. 18 no. 2 (March, 2007), pp. 199-207, ISSN 1044-3983 [doi]  [abs]
  231. 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 [doi]  [abs]
  232. 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 [doi]  [abs]
  233. 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 [doi]  [abs]
  234. 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 [doi]  [abs]
  235. 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 [doi]  [abs]
  236. 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 [doi]  [abs]
  237. Dunson, DB, Empirical bayes density regression, Statistica Sinica, vol. 17 no. 2 (2007), pp. 481-504, ISSN 1017-0405  [abs]
  238. 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 [doi]
  239. O'Brien, SM; Kupper, LL; Dunson, DB, Performance of tests of association in misspecified generalized linear models, Journal of Statistical Planning and Inference, vol. 136 no. 9 (September, 2006), pp. 3090-3100, Elsevier BV, ISSN 0378-3758 [doi]  [abs]
  240. Chen, Z; Dunson, DB, The authors replied as follows:, Biometrics, vol. 62 no. 2 (June, 2006), pp. 623-624, WILEY, ISSN 0006-341X [doi]
  241. Dunson, DB, Editorial, Statistical Methods in Medical Research, vol. 15 no. 2 (April, 2006), pp. 91-92, SAGE Publications, ISSN 0962-2802 [doi]
  242. Baird, DD; Kesner, JS; Dunson, DB, Luteinizing hormone in premenopausal women may stimulate uterine leiomyomata development., Journal of the Society for Gynecologic Investigation, vol. 13 no. 2 (February, 2006), pp. 130-135, ISSN 1071-5576 [doi]  [abs]
  243. 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 [doi]  [abs]
  244. 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
  245. 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 [doi]  [abs]
  246. 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 [html], [doi]  [abs]
  247. Cai, B; Dunson, DB, Bayesian covariance selection in generalized linear mixed models, Biometrics, vol. 62 no. 2 (2006), pp. 446-457, ISSN 0006-341X [html], [doi]  [abs]
  248. Dunson, DB, Bayesian dynamic modeling of latent trait distributions, Biostatistics (Oxford, England), vol. 7 no. 4 (2006), pp. 551-568, ISSN 1465-4644 [doi]  [abs]
  249. Hans, C; Dunson, DB, Bayesian inferences on umbrella orderings., Biometrics, vol. 61 no. 4 (December, 2005), pp. 1018-1026, ISSN 0006-341X [16401275], [doi]  [abs]
  250. Peddada, SD; Dunson, DB; Tan, X, Estimation of order-restricted means from correlated data, Biometrika, vol. 92 no. 3 (September, 2005), pp. 703-715, Oxford University Press (OUP) [doi]  [abs]
  251. Dunson, DB, Bayesian Semiparametric Isotonic Regression for Count Data, Journal of the American Statistical Association, vol. 100 no. 470 (June, 2005), pp. 618-627, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  252. Dunson, DB; Taylor, JA, Approximate Bayesian inference for quantites, Journal of Nonparametric Statistics, vol. 17 no. 3 (April, 2005), pp. 385-400, Informa UK Limited [doi]  [abs]
  253. Longnecker, MP; Klebanoff, MA; Dunson, DB; Guo, X; Chen, Z; Zhou, H; Brock, JW, Maternal serum level of the DDT metabolite DDE in relation to fetal loss in previous pregnancies., Environmental Research, vol. 97 no. 2 (February, 2005), pp. 127-133, ISSN 0013-9351 [doi]  [abs]
  254. Dunson, DB, Bayesian Biostatistics, Handbook of Statistics, vol. 25 (2005), pp. 743-761, Elsevier, ISSN 0169-7161 [doi]  [abs]
  255. Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes, Biostatistics, vol. 6 no. 1 (2005), pp. 11-25 [doi]  [abs]
  256. Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities, Biometrics, vol. 61 no. 1 (2005), pp. 126-133 [doi]  [abs]
  257. 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 [doi]  [abs]
  258. 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 [doi]  [abs]
  259. 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 [doi]  [abs]
  260. 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 [doi]  [abs]
  261. 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 [doi]  [abs]
  262. O'Brien, SM; Dunson, DB, Bayesian multivariate logistic regression., Biometrics, vol. 60 no. 3 (September, 2004), pp. 739-746, ISSN 0006-341X [15339297], [doi]  [abs]
  263. Slama, R; Ducot, B; Keiding, N; Bouyer, J, Studying human fertility and environmental exposures., Environmental Health Perspectives, vol. 112 no. 11 (August, 2004), pp. A604, ISSN 0091-6765 [doi]
  264. 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 [15190016], [doi]  [abs]
  265. 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 [doi]  [abs]
  266. Dunson, DB; Baird, DD; Colombo, B, Increased infertility with age in men and women., Obstetrics and Gynecology, vol. 103 no. 1 (January, 2004), pp. 51-56 [doi]  [abs]
  267. 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  [abs]
  268. Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis, Biometrics, vol. 60 no. 2 (2004), pp. 398-406 [doi]  [abs]
  269. Chen, Z; Dunson, DB, Bayesian estimation of survival functions under stochastic precedence, Lifetime Data Analysis, vol. 10 no. 2 (2004), pp. 159-173 [doi]  [abs]
  270. Dunson, DB; Chen, Z, Selecting factors predictive of heterogeneity in multivariate event time data, Biometrics, vol. 60 no. 2 (2004), pp. 352-358 [doi]  [abs]
  271. 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 [doi]  [abs]
  272. 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 [doi]  [abs]
  273. Dunson, DB, Dynamic Latent Trait Models for Multidimensional Longitudinal Data, Journal of the American Statistical Association, vol. 98 no. 463 (September, 2003), pp. 555-563, Informa UK Limited [doi]  [abs]
  274. Dunson, DB; Colombo, B, Bayesian Modeling of Markers of Day-Specific Fertility, Journal of the American Statistical Association, vol. 98 no. 461 (March, 2003), pp. 28-37, Informa UK Limited [doi]  [abs]
  275. Baird, DD; Dunson, DB, Why is parity protective for uterine fibroids?, Epidemiology (Cambridge, Mass.), vol. 14 no. 2 (March, 2003), pp. 247-250 [doi]  [abs]
  276. Baird, DD; Dunson, DB; Hill, MC; Cousins, D; Schectman, JM, High cumulative incidence of uterine leiomyoma in black and white women: ultrasound evidence., American Journal of Obstetrics and Gynecology, vol. 188 no. 1 (January, 2003), pp. 100-107 [doi]  [abs]
  277. 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 [doi]  [abs]
  278. 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 [doi]  [abs]
  279. 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 [doi]  [abs]
  280. Dunson, DB; Chulada, P; Jr, SJA, Bayesian modeling of time-varying and waning exposure effects, Biometrics, vol. 59 no. 1 (2003), pp. 83-91 [doi]  [abs]
  281. 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 [doi]  [abs]
  282. 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 [doi]  [abs]
  283. 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 [doi]  [abs]
  284. Dunson, DB; Neelon, B, Bayesian inference on order-constrained parameters in generalized linear models, Biometrics, vol. 59 no. 2 (2003), pp. 286-295 [doi]  [abs]
  285. Dunson, DB; Herring, AH, Bayesian Inferences in the Cox Model for Order-Restricted Hypotheses, Biometrics, vol. 59 no. 4 (2003), pp. 916-923 [doi]  [abs]
  286. Chen, Z; Dunson, DB, Random Effects Selection in Linear Mixed Models, Biometrics, vol. 59 no. 4 (2003), pp. 762-769 [doi]  [abs]
  287. 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 [doi]  [abs]
  288. 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 [doi]  [abs]
  289. 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
  290. 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  [abs]
  291. 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  [abs]
  292. 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  [abs]
  293. 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  [abs]
  294. 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  [abs]
  295. Wilcox, AJ; Baird, DD; Dunson, D; McChesney, R; Weinberg, CR, Natural limits of pregnancy testing in relation to the expected menstrual period., Jama, vol. 286 no. 14 (October, 2001), pp. 1759-1761, ISSN 0098-7484 [doi]  [abs]
  296. Nyska, A; Lomnitski, L; Spalding, J; Dunson, DB; Goldsworthy, TL; Ben-Shaul, V; Grossman, S; Bergman, M; Boorman, G, Erratum: Topical and oral administration of the natural water-soluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model (Toxicology Letters (2001) 122 (33-44) PII: S0378427401003459), Toxicology Letters, vol. 123 no. 2-3 (September, 2001), pp. 237, Elsevier BV, ISSN 0378-4274 [doi]
  297. 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 [11424008], [doi]  [abs]
  298. Dunson, DB, Commentary: practical advantages of Bayesian analysis of epidemiologic data., American Journal of Epidemiology, vol. 153 no. 12 (June, 2001), pp. 1222-1226 [doi]  [abs]
  299. Nyska, A; Lomnitski, L; Spalding, J; Dunson, DB; Goldsworthy, TL; Ben-Shaul, V; Grossman, S; Bergman, M; Boorman, G, Topical and oral administration of the natural water-soluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model., Toxicology Letters, vol. 122 no. 1 (May, 2001), pp. 33-44, ISSN 0378-4274 [doi]  [abs]
  300. Wilcox, AJ; Dunson, DB; Weinberg, CR; Trussell, J; Baird, DD, Likelihood of conception with a single act of intercourse: providing benchmark rates for assessment of post-coital contraceptives., Contraception, vol. 63 no. 4 (April, 2001), pp. 211-215, ISSN 0010-7824 [11376648], [doi]  [abs]
  301. Dunson, DB, Modeling of changes in tumor burden, Journal of Agricultural, Biological, and Environmental Statistics, vol. 6 no. 1 (March, 2001), pp. 38-48, Springer Nature [doi]  [abs]
  302. Dunson, DB; Dinse, GE, Bayesian incidence analysis of animal tumorigenicity data, Journal of the Royal Statistical Society. Series C, Applied Statistics, vol. 50 no. 2 (January, 2001), pp. 125-141, WILEY [doi]  [abs]
  303. 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  [abs]
  304. Dunson, DB, Bayesian modeling of the level and duration of fertility in the menstrual cycle, Biometrics, vol. 57 no. 4 (2001), pp. 1067-1073  [abs]
  305. 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  [abs]
  306. 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 [doi]  [abs]
  307. 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  [abs]
  308. Dunson, DB; Zhou, H, A Bayesian Model for Fecundability and Sterility, Journal of the American Statistical Association, vol. 95 no. 452 (December, 2000), pp. 1054-1062, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  309. Wilcox, AJ; Dunson, D; Baird, DD, The timing of the "fertile window" in the menstrual cycle: day specific estimates from a prospective study., Bmj (Clinical Research Ed.), vol. 321 no. 7271 (November, 2000), pp. 1259-1262, ISSN 0959-8146 [doi]  [abs]
  310. 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 [doi]  [abs]
  311. Weinberg, CR; Dunson, DB, Some Issues in Assessing Human Fertility, in Statistics in the 21st Century, Journal of the American Statistical Association, vol. 95 no. 449 (March, 2000), pp. 300-303, Informa UK Limited, ISSN 0162-1459, ISBN 9781420035391 [doi]  [abs]
  312. 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 [doi]  [abs]
  313. 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 [doi]  [abs]
  314. 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  [abs]
  315. 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 [doi]  [abs]
  316. Dunson, DB; Dinse, GE, Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments, Biometrics, vol. 56 no. 4 (2000), pp. 1068-1075  [abs]
  317. Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra, Genetics, vol. 156 no. 3 (2000), pp. 1411-1418  [abs]
  318. Dunson, DB, Assessing overall risk in reproductive experiments, Risk Analysis, vol. 20 no. 4 (2000), pp. 429-437 [doi]  [abs]
  319. 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 [doi]  [abs]
  320. 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 [doi]  [abs]
  321. 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  [abs]
  322. 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  [abs]
  323. 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 [doi]
  324. Dunson, DB, Dose-dependent number of implants and implications in developmental toxicity, Biometrics, vol. 54 no. 2 (1998), pp. 558-569, ISSN 0006-341X [doi]  [abs]

Papers Accepted

  1. Chung, Y; Dunson, DB, The local Dirichlet process., Annals of the Institute of Statistical Mathematics, vol. 63 no. 1 (2009), pp. 59-80, ISSN 0020-3157 [doi]  [abs]
  2. 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 (2009), pp. 196-216, Informa UK Limited, ISSN 1061-8600 [doi]  [abs]
  3. Park, JH; Dunson, DB, Bayesian generalized product partition model, Statistica Sinica, vol. 20 no. 3 (2009), pp. 1203-1226, ISSN 1017-0405 [repository]  [abs]
  4. 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 (2009), pp. 458-472, Informa UK Limited, ISSN 0162-1459 [repository], [doi]  [abs]
  5. 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 [doi]  [abs]
  6. Wang, L; Dunson, DB, Semiparametric Bayes multiple testing: Applications to tumor data, Biometrics, vol. 66 no. 2 (2009), pp. 493-501, ISSN 0006-341X [doi]  [abs]
  7. MacLehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage, Biometrics, vol. 66 no. 2 (2009), pp. 455-462, ISSN 0006-341X [doi]  [abs]
  8. Dunson, DB, Multivariate kernel partition process mixtures, Statistica Sinica, vol. 20 no. 4 (2009), pp. 1395-1422, ISSN 1017-0405  [abs]
  9. Chung, Y; Dunson, DB, Nonparametric Bayes Conditional Distribution Modeling With Variable Selection., Journal of the American Statistical Association, vol. 104 no. 488 (2009), pp. 1646-1660, ISSN 0162-1459 [repository], [doi]  [abs]
  10. 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  [abs]
  11. 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  [abs]

Papers Submitted

  1. Crandell, JL; Dunson, DB, Posterior simulation across nonparametric models for functional clustering, Sankhya B, vol. 73 no. 1 (May, 2011), pp. 42-61, Springer Nature, ISSN 0972-7671 [doi]  [abs]
  2. Reich, BJ; Fuentes, M; Dunson, DB, Bayesian Spatial Quantile Regression., Journal of the American Statistical Association, vol. 106 no. 493 (March, 2011), pp. 6-20, ISSN 0162-1459 [repository], [doi]  [abs]
  3. Shi, M; Dunson, DB, Bayesian Variable Selection via Particle Stochastic Search., Statistics & Probability Letters, vol. 81 no. 2 (February, 2011), pp. 283-291, ISSN 0167-7152 [21278860], [doi]  [abs]
  4. 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 [doi]  [abs]
  5. Bhattacharya, A; Dunson, DB, Nonparametric Bayesian density estimation on manifolds with applications to planar shapes., Biometrika, vol. 97 no. 4 (December, 2010), pp. 851-865, ISSN 0006-3444 [22822255], [doi]  [abs]
  6. 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 [doi]  [abs]
  7. Rodríguez, A; Dunson, DB; Gelfand, AE, Latent Stick-Breaking Processes., Journal of the American Statistical Association, vol. 105 no. 490 (April, 2010), pp. 647-659, ISSN 0162-1459 [23559690], [doi]  [abs]
  8. Bornkamp, B; Ickstadt, K; Dunson, D, Stochastically ordered multiple regression, Biostatistics (Oxford, England), vol. 11 no. 3 (2010), pp. 419-431, ISSN 1465-4644 [doi]  [abs]
  9. Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets, Statistics & Probability Letters (2009)
  10. R. Mitra and D.B. Dunson, Two level stochastic search variable selection in GLMs with missing predictors (2008)
  11. B. Cai and D.B. Dunson, Variable selection in nonparametric random effects models, submitted (2007)
  12. 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 [doi]  [abs]
  2. Weinberg, CR; Dunson, DB, Some issues in assessing human fertility, in Statistics in the 21st Century (January, 2001), pp. 42-49, ISBN 1584882727  [abs]

 

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