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

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  1. Zhang, Z; Allen, GI; Zhu, H; Dunson, D, Tensor network factorizations: Relationships between brain structural connectomes and traits., Neuroimage, vol. 197 (April, 2019), pp. 330-343 [doi]  [abs]
  2. Wang, L; Zhang, Z; Dunson, D, Symmetric Bilinear Regression for Signal Subgraph Estimation, Ieee Transactions on Signal Processing, vol. 67 no. 7 (April, 2019), pp. 1929-1940 [doi]  [abs]
  3. Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions, Journal of the American Statistical Association (January, 2019) [doi]  [abs]
  4. Wang, L; Zhang, Z; Dunson, D, Common and individual structure of brain networks, The Annals of Applied Statistics, vol. 13 no. 1 (January, 2019), pp. 85-112 [doi]  [abs]
  5. Niu, M; Cheung, P; Lin, L; Dai, Z; Lawrence, N; Dunson, D, Intrinsic Gaussian processes on complex constrained domains, Journal of the Royal Statistical Society: Series B (Statistical Methodology) (January, 2019) [doi]  [abs]
  6. 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]
  7. Sarkar, A; Chabout, J; Macopson, JJ; Jarvis, ED; Dunson, DB, Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax, Journal of the American Statistical Association, vol. 113 no. 524 (October, 2018), pp. 1515-1527, Informa UK Limited [doi]  [abs]
  8. Zhao, S; Engelhardt, BE; Mukherjee, S; Dunson, DB, Fast Moment Estimation for Generalized Latent Dirichlet Models, Journal of the American Statistical Association, vol. 113 no. 524 (October, 2018), pp. 1528-1540 [doi]  [abs]
  9. Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration, Journal of Machine Learning Research, vol. 19 (October, 2018)  [abs]
  10. Srivastava, S; Li, C; Dunson, DB, Scalable Bayes via barycenter in Wasserstein space, Journal of Machine Learning Research, vol. 19 (August, 2018), pp. 1-35  [abs]
  11. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering, Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 27 no. 3 (July, 2018), pp. 657-672, Informa UK Limited [doi]  [abs]
  12. van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extrema-weighted feature extraction for functional data., Bioinformatics (Oxford, England), vol. 34 no. 14 (July, 2018), pp. 2457-2464 [doi]  [abs]
  13. Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian Multi-Plate High-Throughput Screening of Compounds., Scientific Reports, vol. 8 no. 1 (June, 2018), pp. 9551 [doi]  [abs]
  14. 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]
  15. Dunson, DB, Statistics in the big data era: Failures of the machine, Statistics & Probability Letters, vol. 136 (May, 2018), pp. 4-9, Elsevier BV [doi]  [abs]
  16. Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping population-based structural connectomes., Neuroimage, vol. 172 (May, 2018), pp. 130-145 [doi]  [abs]
  17. van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, G-O; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries., Diabetes Care, vol. 41 no. 4 (April, 2018), pp. 782-788 [doi]  [abs]
  18. Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from two-photon imaging data., Plos One, vol. 13 no. 5 (January, 2018), pp. e0196527 [doi]  [abs]
  19. 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]
  20. Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data, Journal of the American Statistical Association (January, 2018) [doi]  [abs]
  21. Durante, D; Dunson, DB, Bayesian inference and testing of group differences in brain networks, Bayesian Analysis, vol. 13 no. 1 (January, 2018), pp. 29-58, Institute of Mathematical Statistics [doi]  [abs]
  22. Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Robust and scalable bayes via a median of subset posterior measures, Journal of Machine Learning Research, vol. 18 (December, 2017), pp. 1-40  [abs]
  23. Wheeler, MW; Dunson, DB; Herring, AH, Bayesian Local Extremum Splines., Biometrika, vol. 104 no. 4 (December, 2017), pp. 939-952, Oxford University Press (OUP)  [abs]
  24. Shang, Y; Dunson, D; Song, JS, Exploiting big data in logistics risk assessment via Bayesian nonparametrics, Operations Research, vol. 65 no. 6 (November, 2017), pp. 1574-1588, Institute for Operations Research and the Management Sciences (INFORMS) [doi]  [abs]
  25. Durante, D; Dunson, DB; Vogelstein, JT, Rejoinder: Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (October, 2017), pp. 1547-1552, Informa UK Limited [doi]
  26. Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (October, 2017), pp. 1516-1530, Informa UK Limited [doi]  [abs]
  27. Reddy, A; Zhang, J; Davis, NS; Moffitt, AB; Love, CL; Waldrop, A; Leppa, S; Pasanen, A; Meriranta, L; Karjalainen-Lindsberg, M-L; Nørgaard, P; Pedersen, M; Gang, AO; Høgdall, E; Heavican, TB; Lone, W; Iqbal, J; Qin, Q; Li, G; Kim, SY; Healy, J; Richards, KL; Fedoriw, Y; Bernal-Mizrachi, L; Koff, JL; Staton, AD; Flowers, CR; Paltiel, O; Goldschmidt, N; Calaminici, M; Clear, A; Gribben, J; Nguyen, E; Czader, MB; Ondrejka, SL; Collie, A; Hsi, ED; Tse, E; Au-Yeung, RKH; Kwong, Y-L; Srivastava, G; Choi, WWL; Evens, AM; Pilichowska, M; Sengar, M; Reddy, N; Li, S; Chadburn, A; Gordon, LI; Jaffe, ES; Levy, S; Rempel, R; Tzeng, T; Happ, LE; Dave, T; Rajagopalan, D; Datta, J; Dunson, DB; Dave, SS, Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma., Cell, vol. 171 no. 2 (October, 2017), pp. 481-494.e15 [doi]  [abs]
  28. Li, C; Srivastava, S; Dunson, DB, Simple, scalable and accurate posterior interval estimation, Biometrika, vol. 104 no. 3 (September, 2017), pp. 665-680, Oxford University Press (OUP) [doi]  [abs]
  29. Lock, EF; Dunson, DB, Bayesian genome- and epigenome-wide association studies with gene level dependence., Biometrics, vol. 73 no. 3 (September, 2017), pp. 1018-1028 [doi]  [abs]
  30. Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis., Biometrika, vol. 104 no. 3 (September, 2017), pp. 649-663 [doi]  [abs]
  31. Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression, Journal of Machine Learning Research, vol. 18 (August, 2017), pp. 1-31  [abs]
  32. Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L, Rat intersubjective decisions are encoded by frequency-specific oscillatory contexts., Brain and Behavior, vol. 7 no. 6 (June, 2017), pp. e00710 [doi]  [abs]
  33. Zhu, B; Dunson, DB, Bayesian functional data modeling for heterogeneous volatility, Bayesian Analysis, vol. 12 no. 2 (June, 2017), pp. 335-350, Institute of Mathematical Statistics [doi]  [abs]
  34. Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian network-response regression., Bioinformatics (Oxford, England), vol. 33 no. 12 (June, 2017), pp. 1859-1866 [doi]  [abs]
  35. Ovaskainen, O; Tikhonov, G; Norberg, A; Guillaume Blanchet, F; Duan, L; Dunson, D; Roslin, T; Abrego, N, How to make more out of community data? A conceptual framework and its implementation as models and software., Ecology Letters, vol. 20 no. 5 (May, 2017), pp. 561-576 [doi]  [abs]
  36. Ovaskainen, O; Tikhonov, G; Dunson, D; Grøtan, V; Engen, S; Sæther, B-E; Abrego, N, How are species interactions structured in species-rich communities? A new method for analysing time-series data., Proceedings of the Royal Society B: Biological Sciences, vol. 284 no. 1855 (May, 2017), pp. 20170768-20170768 [doi]  [abs]
  37. Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; Au-Yeung, RKH; Kwong, Y-L; Srivastava, G; Iqbal, J; Yu, J; Naresh, K; Villa, D; Gascoyne, RD; Said, J; Czader, MB; Chadburn, A; Richards, KL; Rajagopalan, D; Davis, NS; Smith, EC; Palus, BC; Tzeng, TJ; Healy, JA; Lugar, PL; Datta, J; Love, C; Levy, S; Dunson, DB; Zhuang, Y; Hsi, ED; Dave, SS, Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2., The Journal of Experimental Medicine, vol. 214 no. 5 (May, 2017), pp. 1371-1386 [doi]  [abs]
  38. Durante, D; Paganin, S; Scarpa, B; Dunson, DB, Bayesian modelling of networks in complex business intelligence problems, Journal of the Royal Statistical Society. Series C, Applied Statistics, vol. 66 no. 3 (April, 2017), pp. 555-580, WILEY [doi]  [abs]
  39. McKinney, M; Moffitt, AB; Gaulard, P; Travert, M; De Leval, L; Nicolae, A; Raffeld, M; Jaffe, ES; Pittaluga, S; Xi, L; Heavican, T; Iqbal, J; Belhadj, K; Delfau-Larue, MH; Fataccioli, V; Czader, MB; Lossos, IS; Chapman-Fredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; Mehta-Shah, N; Horwitz, S; Bernal-Mizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A; Au-Yeung, RKH; Srivastava, G; Choi, WWL; Goodlad, JR; Aurer, I; Basic-Kinda, S; Gascoyne, RD; Davis, NS; Li, G; Zhang, J; Rajagopalan, D; Reddy, A; Love, C; Levy, S; Zhuang, Y; Datta, J; Dunson, DB; Davé, SS, The Genetic Basis of Hepatosplenic T-cell Lymphoma., Cancer Discovery, vol. 7 no. 4 (April, 2017), pp. 369-379 [doi]  [abs]
  40. Tikhonov, G; Abrego, N; Dunson, D; Ovaskainen, O, Using joint species distribution models for evaluating how species-to-species associations depend on the environmental context, edited by Warton, D, Methods in Ecology and Evolution, vol. 8 no. 4 (April, 2017), pp. 443-452, WILEY [doi]  [abs]
  41. Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the stiefel manifold, Statistica Sinica, vol. 27 no. 2 (April, 2017), pp. 535-553, Institute of Statistical Science [doi]  [abs]
  42. Dunson, DB, Toward automated prior choice, Statistical Science, vol. 32 no. 1 (February, 2017), pp. 41-43, Institute of Mathematical Statistics [doi]
  43. Abrego, N; Dunson, D; Halme, P; Salcedo, I; Ovaskainen, O, Wood-inhabiting fungi with tight associations with other species have declined as a response to forest management, Oikos, vol. 126 no. 2 (February, 2017), WILEY [doi]
  44. Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS., The Annals of Statistics, vol. 45 no. 1 (January, 2017), pp. 1-38 [doi]  [abs]
  45. Lin, L; St Thomas, B; Zhu, H; Dunson, DB, Extrinsic local regression on manifold-valued data., Journal of the American Statistical Association, vol. 112 no. 519 (January, 2017), pp. 1261-1273 [doi]  [abs]
  46. Dunson, D; Fryzlewicz, P, Report of the editors-2016, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 79 no. 1 (January, 2017), pp. 3-4 [doi]
  47. Durante, D; Dunson, DB; Vogelstein, JT, Nonparametric Bayes Modeling of Populations of Networks, Journal of the American Statistical Association, vol. 112 no. 520 (2017), pp. 1516-1530 [doi]
  48. Datta, J; Dunson, DB, Bayesian inference on quasi-sparse count data., Biometrika, vol. 103 no. 4 (December, 2016), pp. 971-983 [doi]  [abs]
  49. Bhattacharya, A; Dunson, DB; Pati, D; Pillai, NS, Sub-optimality of some continuous shrinkage priors, Stochastic Processes and Their Applications, vol. 126 no. 12 (December, 2016), pp. 3828-3842, Elsevier BV [doi]  [abs]
  50. Durante, D; Dunson, DB, Locally adaptive dynamic networks, The Annals of Applied Statistics, vol. 10 no. 4 (December, 2016), pp. 2203-2232, Institute of Mathematical Statistics [doi]
  51. Zhu, H; Strawn, N; Dunson, DB, Bayesian graphical models for multivariate functional data, Journal of Machine Learning Research, vol. 17 (October, 2016), pp. 1-27  [abs]
  52. Sarkar, A; Dunson, DB, Bayesian Nonparametric Modeling of Higher Order Markov Chains, Journal of the American Statistical Association, vol. 111 no. 516 (October, 2016), pp. 1791-1803, Informa UK Limited [doi]  [abs]
  53. Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing cradle artifacts in X-ray images of paintings, Siam Journal on Imaging Sciences, vol. 9 no. 3 (August, 2016), pp. 1247-1272, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  54. Li, D; Heyer, L; Jennings, VH; Smith, CA; Dunson, DB, Personalised estimation of a woman's most fertile days., The European Journal of Contraception & Reproductive Health Care : the Official Journal of the European Society of Contraception, vol. 21 no. 4 (August, 2016), pp. 323-328 [doi]  [abs]
  55. Canale, A; Dunson, DB, Multiscale bernstein polynomials for densities, Statistica Sinica, vol. 26 no. 3 (July, 2016), pp. 1175-1195, Institute of Statistical Science [doi]  [abs]
  56. Hultman, R; Mague, SD; Li, Q; Katz, BM; Michel, N; Lin, L; Wang, J; David, LK; Blount, C; Chandy, R; Carlson, D; Ulrich, K; Carin, L; Dunson, D; Kumar, S; Deisseroth, K; Moore, SD; Dzirasa, K, Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology., Neuron, vol. 91 no. 2 (July, 2016), pp. 439-452 [doi]  [abs]
  57. Kunihama, T; Herring, AH; Halpern, CT; Dunson, DB, Nonparametric Bayes modeling with sample survey weights, Statistics & Probability Letters, vol. 113 (June, 2016), pp. 41-48, Elsevier BV [doi]  [abs]
  58. Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling., Biometrika, vol. 103 no. 2 (June, 2016), pp. 319-335 [doi]  [abs]
  59. Ovaskainen, O; Abrego, N; Halme, P; Dunson, D, Using latent variable models to identify large networks of species-to-species associations at different spatial scales, edited by Warton, D, Methods in Ecology and Evolution, vol. 7 no. 5 (May, 2016), pp. 549-555, WILEY [doi]  [abs]
  60. Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression, Journal of Machine Learning Research, vol. 17 (May, 2016)  [abs]
  61. Yang, Y; Dunson, DB, Bayesian Conditional Tensor Factorizations for High-Dimensional Classification, Journal of the American Statistical Association, vol. 111 no. 514 (April, 2016), pp. 656-669, Informa UK Limited [doi]  [abs]
  62. Kabisa, S; Dunson, DB; Morris, JS, Online Variational Bayes Inference for High-Dimensional Correlated Data, Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 25 no. 2 (April, 2016), pp. 426-444, Informa UK Limited [doi]  [abs]
  63. Yang, Y; Dunson, DB, Bayesian manifold regression, The Annals of Statistics, vol. 44 no. 2 (April, 2016), pp. 876-905, Institute of Mathematical Statistics [doi]  [abs]
  64. Zhou, J; Herring, AH; Bhattacharya, A; Olshan, AF; Dunson, DB; National Birth Defects Prevention Study, , Nonparametric Bayes modeling for case control studies with many predictors., Biometrics, vol. 72 no. 1 (March, 2016), pp. 184-192 [doi]  [abs]
  65. Tang, K; Dunson, DB; Su, Z; Liu, R; Zhang, J; Dong, J, Subspace segmentation by dense block and sparse representation., Neural Networks : the Official Journal of the International Neural Network Society, vol. 75 (March, 2016), pp. 66-76 [doi]  [abs]
  66. Chabout, J; Sarkar, A; Patel, SR; Radden, T; Dunson, DB; Fisher, SE; Jarvis, ED, A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice., Frontiers in Behavioral Neuroscience, vol. 10 (January, 2016), pp. 197 [doi]  [abs]
  67. Wang, X; Dunson, D; Leng, C, No penalty no tears: Least squares in high-dimensional linear models, 33rd International Conference on Machine Learning, Icml 2016, vol. 4 (January, 2016), pp. 2685-2706, ISBN 9781510829008  [abs]
  68. Wang, X; Dunson, D; Leng, C, DECOrrelated feature space partitioning for distributed sparse regression, Advances in Neural Information Processing Systems (January, 2016), pp. 802-810  [abs]
  69. Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression, Journal of Machine Learning Research, vol. 16 (December, 2015), pp. 2501-2542  [abs]
  70. Yazdani, A; Dunson, DB, A hybrid bayesian approach for genome-wide association studies on related individuals., Bioinformatics (Oxford, England), vol. 31 no. 24 (December, 2015), pp. 3890-3896 [doi]  [abs]
  71. Lock, EF; Dunson, DB, Shared kernel Bayesian screening., Biometrika, vol. 102 no. 4 (December, 2015), pp. 829-842 [doi]  [abs]
  72. Bhattacharya, A; Pati, D; Pillai, NS; Dunson, DB, Dirichlet-Laplace priors for optimal shrinkage., Journal of the American Statistical Association, vol. 110 no. 512 (December, 2015), pp. 1479-1490 [doi]  [abs]
  73. Guhaniyogi, R; Dunson, DB, Bayesian Compressed Regression, Journal of the American Statistical Association, vol. 110 no. 512 (October, 2015), pp. 1500-1514, Informa UK Limited [doi]  [abs]
  74. Zhou, J; Bhattacharya, A; Herring, AH; Dunson, DB, Bayesian Factorizations of Big Sparse Tensors, Journal of the American Statistical Association, vol. 110 no. 512 (October, 2015), pp. 1562-1576, Informa UK Limited [doi]  [abs]
  75. Guo, F; Dunson, DB, Uncovering systematic bias in ratings across categories: A Bayesian approach, Recsys 2015 Proceedings of the 9th Acm Conference on Recommender Systems (September, 2015), pp. 317-320, ISBN 9781450336925 [doi]  [abs]
  76. Hua, Z; Zhu, H; Dunson, DB, Semiparametric Bayes Local Additive Models for Longitudinal Data, Statistics in Biosciences, vol. 7 no. 1 (May, 2015), pp. 90-107, ISSN 1867-1764 [doi]  [abs]
  77. Li, D; Wilcox, AJ; Dunson, DB, Benchmark pregnancy rates and the assessment of post-coital contraceptives: an update., Contraception, vol. 91 no. 4 (April, 2015), pp. 344-349, ISSN 0010-7824 [doi]  [abs]
  78. Lock, EF; Soldano, KL; Garrett, ME; Cope, H; Markunas, CA; Fuchs, H; Grant, G; Dunson, DB; Gregory, SG; Ashley-Koch, AE, Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation., Bmc Genomics, vol. 16 (January, 2015), pp. 11 [doi]  [abs]
  79. Chabout, J; Sarkar, A; Dunson, DB; Jarvis, ED, Male mice song syntax depends on social contexts and influences female preferences., Frontiers in Behavioral Neuroscience, vol. 9 (January, 2015), pp. 76 [repository], [doi]  [abs]
  80. Canale, A; Dunson, DB, Bayesian multivariate mixed-scale density estimation, Statistics and Its Interface, vol. 8 no. 2 (January, 2015), pp. 195-201, International Press of Boston, ISSN 1938-7989 [doi]  [abs]
  81. Kessler, DC; Hoff, PD; Dunson, DB, Marginally specified priors for non-parametric Bayesian estimation, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 77 no. 1 (January, 2015), pp. 35-58, ISSN 1369-7412 [doi]  [abs]
  82. Kessler, DC; Hoff, PD; Dunson, DB, Marginally specified priors for non-parametric Bayesian estimation., Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 77 no. 1 (January, 2015), pp. 35-58, ISSN 1369-7412 [doi]  [abs]
  83. Van Den Boom, W; Dunson, D; Reeves, G, Quantifying uncertainty in variable selection with arbitrary matrices, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 (January, 2015), pp. 385-388, ISBN 9781479919635 [doi]  [abs]
  84. Srivastava, S; Cevher, V; Tran-Dinh, Q; Dunson, DB, WASP: Scalable Bayes via barycenters of subset posteriors, Journal of Machine Learning Research, vol. 38 (January, 2015), pp. 912-920  [abs]
  85. Wang, X; Leng, C; Dunson, DB, On the consistency theory of high dimensional variable screening, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 2431-2439  [abs]
  86. Wang, X; Guo, F; Heller, KA; Dunson, DB, Parallelizing MCMC with random partition trees, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 451-459  [abs]
  87. Wang, Y; Dunson, D, Probabilistic curve learning: Coulomb repulsion and the electrostatic Gaussian process, Advances in Neural Information Processing Systems, vol. 2015-January (January, 2015), pp. 1738-1746  [abs]
  88. Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence, Biometrika, vol. 103 no. 1 (January, 2015), pp. 35-47, Oxford University Press (OUP) [doi]  [abs]
  89. Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference (2015)  [abs]
  90. Durante, D; Dunson, DB, Nonparametric Bayes dynamic modelling of relational data, Biometrika, vol. 101 no. 4 (December, 2014), pp. 883-898, Oxford University Press (OUP) [doi]  [abs]
  91. Yang, H; Liu, F; Ji, C; Dunson, D, Adaptive sampling for Bayesian geospatial models, Statistics and Computing, vol. 24 no. 6 (November, 2014), pp. 1101-1110, Springer Nature, ISSN 0960-3174 [doi]  [abs]
  92. Gu, K; Pati, D; Dunson, DB, Bayesian Multiscale Modeling of Closed Curves in Point Clouds., Journal of the American Statistical Association, vol. 109 no. 508 (October, 2014), pp. 1481-1494, ISSN 0162-1459 [doi]  [abs]
  93. Dunson, DB, Comment, Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 890-891, Informa UK Limited, ISSN 0162-1459 [doi]
  94. Wheeler, MW; Dunson, DB; Pandalai, SP; Baker, BA; Herring, AH, Mechanistic Hierarchical Gaussian Processes., Journal of the American Statistical Association, vol. 109 no. 507 (July, 2014), pp. 894-904, ISSN 0162-1459 [doi]  [abs]
  95. Xing, Z; Nicholson, B; Jimenez, M; Veldman, T; Hudson, L; Lucas, J; Dunson, D; Zaas, AK; Woods, CW; Ginsburg, GS; Carin, L, Bayesian modeling of temporal properties of infectious disease in a college student population, Journal of Applied Statistics, vol. 41 no. 6 (June, 2014), pp. 1358-1382, Informa UK Limited, ISSN 0266-4763 [doi]
  96. Pati, D; Bhattacharya, A; Pillai, NS; Dunson, D, Posterior contraction in sparse Bayesian factor models for massive covariance matrices, The Annals of Statistics, vol. 42 no. 3 (June, 2014), pp. 1102-1130, Institute of Mathematical Statistics, ISSN 0090-5364 [doi]
  97. Kessler, DC; Taylor, JA; Dunson, DB, Learning phenotype densities conditional on many interacting predictors., Bioinformatics (Oxford, England), vol. 30 no. 11 (June, 2014), pp. 1562-1568, ISSN 1367-4803 [doi]  [abs]
  98. Zhang, J; Jima, D; Moffitt, AB; Liu, Q; Czader, M; Hsi, ED; Fedoriw, Y; Dunphy, CH; Richards, KL; Gill, JI; Sun, Z; Love, C; Scotland, P; Lock, E; Levy, S; Hsu, DS; Dunson, D; Dave, SS, The genomic landscape of mantle cell lymphoma is related to the epigenetically determined chromatin state of normal B cells., Blood, vol. 123 no. 19 (May, 2014), pp. 2988-2996, ISSN 0006-4971 [doi]  [abs]
  99. Kundu, S; Dunson, DB, Bayes variable selection in semiparametric linear models., Journal of the American Statistical Association, vol. 109 no. 505 (March, 2014), pp. 437-447, ISSN 0162-1459 [doi]  [abs]
  100. Cui, K; Dunson, DB, Generalized Dynamic Factor Models for Mixed-Measurement Time Series., Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 23 no. 1 (February, 2014), pp. 169-191, ISSN 1061-8600 [doi]  [abs]
  101. Pati, D; Dunson, DB, Bayesian nonparametric regression with varying residual density, Annals of the Institute of Statistical Mathematics, vol. 66 no. 1 (February, 2014), pp. 1-31, ISSN 0020-3157 [doi]  [abs]
  102. Bhattacharya, A; Pati, D; Dunson, D, Anisotropic function estimation using multi-bandwidth Gaussian processes, The Annals of Statistics, vol. 42 no. 1 (February, 2014), pp. 352-381, Institute of Mathematical Statistics [doi]
  103. Yin, R; Dunson, D; Cornelis, B; Brown, B; Ocon, N; Daubechies, I, Digital cradle removal in X-ray images of art paintings, 2014 Ieee International Conference on Image Processing, Icip 2014 (January, 2014), pp. 4299-4303, IEEE, ISBN 9781479957514 [doi]  [abs]
  104. Rai, P; Wang, Y; Guo, S; Chen, G; Dunson, D; Carin, L, Scalable bayesian low-rank decomposition of incomplete multiway tensors, 31st International Conference on Machine Learning, Icml 2014, vol. 5 (January, 2014), pp. 3810-3820, ISBN 9781634393973  [abs]
  105. Wang, X; Peng, P; Dunson, DB, Median selection subset aggregation for parallel inference, Advances in Neural Information Processing Systems, vol. 3 no. January (January, 2014), pp. 2195-2203, ISSN 1049-5258  [abs]
  106. Minsker, S; Srivastava, S; Lin, L; Dunson, DB, Scalable and robust Bayesian inference via the median posterior, 31st International Conference on Machine Learning, Icml 2014, vol. 5 (January, 2014), pp. 3629-3639, ISBN 9781634393973  [abs]
  107. Rodriguez, A; Dunson, DB, Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies, The Annals of Applied Statistics, vol. 8 no. 3 (January, 2014), pp. 1416-1442, Institute of Mathematical Statistics, ISSN 1932-6157 [doi]  [abs]
  108. Kundu, S; Dunson, DB, Latent factor models for density estimation, Biometrika, vol. 101 no. 3 (January, 2014), pp. 641-654, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  109. Hannah, LA; Powell, WB; Dunson, DB, Semiconvex regression for metamodeling-based optimization, Siam Journal on Optimization, vol. 24 no. 2 (January, 2014), pp. 573-597, Society for Industrial & Applied Mathematics (SIAM), ISSN 1052-6234 [doi]  [abs]
  110. Durante, D; Dunson, DB, Bayesian dynamic financial networks with time-varying predictors, Statistics & Probability Letters, vol. 93 (January, 2014), pp. 19-26, Elsevier BV, ISSN 0167-7152 [doi]  [abs]
  111. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive factor processes for multivariate time series, Journal of Machine Learning Research, vol. 15 (January, 2014), pp. 1493-1522, ISSN 1532-4435  [abs]
  112. Lin, L; Dunson, DB, Bayesian monotone regression using Gaussian process projection, Biometrika, vol. 101 no. 2 (January, 2014), pp. 303-317, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  113. Xing, Z; Nicholson, B; Jimenez, M; Veldman, T; Hudson, L; Lucas, J; Dunson, D; Zaas, AK; Woods, CW; Ginsburg, GS; Carin, L, Bayesian modeling of temporal properties of infectious disease in a college student population, Journal of Applied Statistics, vol. 41 no. 6 (January, 2014), pp. 1358-1382, ISSN 0266-4763 [doi]  [abs]
  114. Wade, S; Dunson, DB; Petrone, S; Trippa, L, Improving prediction from dirichlet process mixtures via enrichment, Journal of Machine Learning Research, vol. 15 (January, 2014), pp. 1041-1071, ISSN 1532-4435  [abs]
  115. Carlson, DE; Vogelstein, JT; Qisong Wu, ; Wenzhao Lian, ; Mingyuan Zhou, ; Stoetzner, CR; Kipke, D; Weber, D; Dunson, DB; Carin, L, Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling., Ieee Transactions on Bio Medical Engineering, vol. 61 no. 1 (January, 2014), pp. 41-54, ISSN 0018-9294 [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 (January, 2014), pp. 273, Elsevier BV, ISSN 0167-9473 [doi]
  117. Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks, Journal of Machine Learning Research, vol. 33 (January, 2014), pp. 194-201  [abs]
  118. Scarpa, B; Dunson, DB, Enriched Stick Breaking Processes for Functional Data., Journal of the American Statistical Association, vol. 109 no. 506 (January, 2014), pp. 647-660 [doi]  [abs]
  119. Carlson, DE; Vogelstein, JT; Wu, Q; Lian, W; Zhou, M; Stoetzner, CR; Kipke, D; Weber, D; Dunson, DB; Carin, L, Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling, Ieee Transactions on Bio Medical Engineering, vol. 61 no. 1 (January, 2014), pp. 41-54 [doi]  [abs]
  120. Chen, CWS; Dunson, D; Frühwirth-Schnatter, S; Walker, SG, Special issue on Bayesian computing, methods and applications, Computational Statistics & Data Analysis, vol. 71 (2014), pp. 273-, ISSN 0167-9473 [doi]
  121. Cornelis, B; Yang, Y; Vogelstein, JT; Dooms, A; Daubechies, I; Dunson, D, Bayesian crack detection in ultra high resolution multimodal images of paintings, 2013 18th International Conference on Digital Signal Processing, Dsp 2013 (December, 2013) [1304.5894v2], [doi]  [abs]
  122. Armagan, A; Dunson, DB; Lee, J; Bajwa, WU; Strawn, N, Posterior consistency in linear models under shrinkage priors, Biometrika, vol. 100 no. 4 (December, 2013), pp. 1011-1018, Oxford University Press (OUP), ISSN 0006-3444 [Gateway.cgi], [doi]  [abs]
  123. Canale, A; Dunson, DB, Nonparametric Bayes modelling of count processes, Biometrika, vol. 100 no. 4 (December, 2013), pp. 801-816, Oxford University Press (OUP), ISSN 0006-3444 [Gateway.cgi], [doi]
  124. Salazar, E; Dunson, DB; Carin, L, Analysis of space–time relational data with application to legislative voting, Computational Statistics & Data Analysis, vol. 68 (December, 2013), pp. 141-154, Elsevier BV, ISSN 0167-9473 [doi]  [abs]
  125. Hannah, LA; Dunson, DB, Multivariate Convex Regression with Adaptive Partitioning, Journal of Machine Learning Research, vol. 14 (November, 2013), pp. 3261-3294, ISSN 1532-4435  [abs]
  126. Li, D; Longnecker, MP; Dunson, DB, Lipid adjustment for chemical exposures: accounting for concomitant variables., Epidemiology (Cambridge, Mass.), vol. 24 no. 6 (November, 2013), pp. 921-928 [24051893], [doi]  [abs]
  127. Lock, EF; Dunson, DB, Bayesian consensus clustering., Bioinformatics (Oxford, England), vol. 29 no. 20 (October, 2013), pp. 2610-2616 [23990412], [doi]  [abs]
  128. Yu, K; Chen, CWS; Reed, C; Dunson, DB, Bayesian variable selection in quantile regression, Statistics and Its Interface, vol. 6 no. 2 (July, 2013), pp. 261-274, International Press of Boston, ISSN 1938-7989 [Gateway.cgi], [doi]  [abs]
  129. Zhu, B; Ashley-Koch, AE; Dunson, DB, Generalized admixture mapping for complex traits., G3 (Bethesda, Md.), vol. 3 no. 7 (July, 2013), pp. 1165-1175 [23665878], [doi]  [abs]
  130. Murray, JS; Dunson, DB; Carin, L; Lucas, JE, Bayesian Gaussian Copula Factor Models for Mixed Data, vol. 108 no. 502 (June, 2013), pp. 656-665 [1111.0317v2], [doi]  [abs]
  131. Wang, E; Salazar, E; Dunson, D; Carin, L, Spatio-temporal modeling of legislation and votes, Bayesian Analysis, vol. 8 no. 1 (March, 2013), pp. 233-268, Institute of Mathematical Statistics, ISSN 1936-0975 [doi]  [abs]
  132. Page, G; Bhattacharya, A; Dunson, D, Classification via Bayesian Nonparametric Learning of Affine Subspaces, Journal of the American Statistical Association, vol. 108 no. 501 (March, 2013), pp. 187-201, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  133. Zhang, J; Grubor, V; Love, CL; Banerjee, A; Richards, KL; Mieczkowski, PA; Dunphy, C; Choi, W; Au, WY; Srivastava, G; Lugar, PL; Rizzieri, DA; Lagoo, AS; Bernal-Mizrachi, L; Mann, KP; Flowers, C; Naresh, K; Evens, A; Gordon, LI; Czader, M; Gill, JI; Hsi, ED; Liu, Q; Fan, A; Walsh, K; Jima, D; Smith, LL; Johnson, AJ; Byrd, JC; Luftig, MA; Ni, T; Zhu, J; Chadburn, A; Levy, S; Dunson, D; Dave, SS, Genetic heterogeneity of diffuse large B-cell lymphoma., Proceedings of the National Academy of Sciences of the United States of America, vol. 110 no. 4 (January, 2013), pp. 1398-1403 [23292937], [doi]  [abs]
  134. Petralia, F; Vogelstein, J; Dunson, DB, Multiscale dictionary learning for estimating conditional distributions, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258  [abs]
  135. Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series, Advances in Neural Information Processing Systems (January, 2013), ISSN 1049-5258  [abs]
  136. Zhu, B; Dunson, DB, Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes., Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), ISSN 0162-1459 [doi]  [abs]
  137. Kunihama, T; Dunson, DB, Bayesian modeling of temporal dependence in large sparse contingency tables., Journal of the American Statistical Association, vol. 108 no. 504 (January, 2013), pp. 1324-1338, ISSN 0162-1459 [doi]  [abs]
  138. Chen, B; Polatkan, G; Sapiro, G; Blei, D; Dunson, D; Carin, L, Deep Learning with Hierarchical Convolutional Factor Analysis., Ieee Transactions on Pattern Analysis and Machine Intelligence (January, 2013) [23319498]  [abs]
  139. Gelman, A; Carlin, JB; Stern, HS; Dunson, DB; Vehtari, A; Rubin, DB, Bayesian data analysis, third edition (January, 2013), pp. 1-646, ISBN 9781439840955  [abs]
  140. Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models, Journal of Machine Learning Research, vol. 31 (January, 2013), pp. 29-38  [abs]
  141. 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]
  142. 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]
  143. 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]
  144. 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]
  145. 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]
  146. 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]
  147. 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]
  148. 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]
  149. 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]
  150. 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]
  151. 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]
  152. 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]
  153. 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]
  154. 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]
  155. 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]
  156. 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]
  157. 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]
  158. 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]
  159. Dunson, DB; Xing, C, Nonparametric Bayes Modeling of Multivariate Categorical Data., Journal of the American Statistical Association, vol. 104 no. 487 (January, 2012), pp. 1042-1051, ISSN 0162-1459 [doi]  [abs]
  160. 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]
  161. 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]
  162. 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]
  163. Fox, EB; Dunson, DB, Multiresolution Gaussian processes, Advances in Neural Information Processing Systems, vol. 1 (2012), pp. 737-745, ISSN 1049-5258  [abs]
  164. 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]
  165. 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]
  166. 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]
  167. 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]
  168. 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]
  169. 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]
  170. 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]
  171. 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]
  172. 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]
  173. 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]
  174. 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]
  175. 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]
  176. 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]
  177. 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]
  178. 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]
  179. 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]
  180. 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]
  181. 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]
  182. 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]
  183. 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]
  184. 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]
  185. 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]
  186. Chung, Y; Dunson, DB, The local Dirichlet process., Annals of the Institute of Statistical Mathematics, vol. 63 no. 1 (February, 2011), pp. 59-80, ISSN 0020-3157 [doi]  [abs]
  187. 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]
  188. 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 [doi]  [abs]
  189. 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
  190. 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]
  191. Wang, L; Dunson, DB, Bayesian isotonic density regression, Biometrika, vol. 98 no. 3 (2011), pp. 537-551, ISSN 0006-3444 [doi]  [abs]
  192. 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]
  193. 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]
  194. 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]
  195. 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]
  196. 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]
  197. 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]
  198. 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]
  199. 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]
  200. 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]
  201. 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]
  202. 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]
  203. 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]
  204. 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]
  205. Park, JH; Dunson, DB, Bayesian generalized product partition model, Statistica Sinica, vol. 20 no. 3 (July, 2010), pp. 1203-1226, ISSN 1017-0405 [repository]  [abs]
  206. Ren, L; Dunson, D; Lindroth, S; Carin, L, Dynamic nonparametric bayesian models for analysis of music, Journal of the American Statistical Association, vol. 105 no. 490 (June, 2010), pp. 458-472, Informa UK Limited, ISSN 0162-1459 [repository], [doi]  [abs]
  207. 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]
  208. 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]
  209. 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
  210. 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]
  211. 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]
  212. 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]
  213. 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]
  214. Wang, L; Dunson, DB, Semiparametric Bayes multiple testing: Applications to tumor data, Biometrics, vol. 66 no. 2 (2010), pp. 493-501, ISSN 0006-341X [doi]  [abs]
  215. MacLehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage, Biometrics, vol. 66 no. 2 (2010), pp. 455-462, ISSN 0006-341X [doi]  [abs]
  216. Dunson, DB, Multivariate kernel partition process mixtures, Statistica Sinica, vol. 20 no. 4 (2010), pp. 1395-1422, ISSN 1017-0405  [abs]
  217. 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]
  218. Chung, Y; Dunson, DB, Nonparametric Bayes Conditional Distribution Modeling With Variable Selection., Journal of the American Statistical Association, vol. 104 no. 488 (December, 2009), pp. 1646-1660, ISSN 0162-1459 [repository], [doi]  [abs]
  219. 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]
  220. 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]
  221. Ghosh, J; Dunson, DB, Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor Analysis., Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, vol. 18 no. 2 (June, 2009), pp. 306-320, ISSN 1061-8600 [doi]  [abs]
  222. Dunson, DB, Bayesian nonparametric hierarchical modeling., Biometrical Journal, vol. 51 no. 2 (April, 2009), pp. 273-284 [19358217], [doi]  [abs]
  223. 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]
  224. 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 [doi]  [abs]
  225. 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]
  226. 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]
  227. Dunson, DB, Nonparametric Bayes local partition models for random effects., Biometrika, vol. 96 no. 2 (January, 2009), pp. 249-262, ISSN 0006-3444 [doi]  [abs]
  228. 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]
  229. Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets, Statistics & Probability Letters (2009)
  230. 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]
  231. 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]
  232. 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]
  233. Dunson, DB; Peddada, SD, Bayesian nonparametric inference on stochastic ordering, Biometrika, vol. 95 no. 4 (December, 2008), pp. 859-874, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  234. 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 [doi]  [abs]
  235. 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]
  236. 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]
  237. 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]
  238. 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]
  239. 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]
  240. 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]
  241. 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]
  242. Dunson, DB; Herring, AH; Engel, SM, Bayesian Selection and Clustering of Polymorphisms in Functionally Related Genes, Journal of the American Statistical Association, vol. 103 no. 482 (June, 2008), pp. 534-546, Informa UK Limited, ISSN 0162-1459 [doi]  [abs]
  243. Dunson, DB; Park, JH, Kernel stick-breaking processes, Biometrika, vol. 95 no. 2 (June, 2008), pp. 307-323, Oxford University Press (OUP), ISSN 0006-3444 [doi]  [abs]
  244. 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]
  245. 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]
  246. R. Mitra and D.B. Dunson, Two level stochastic search variable selection in GLMs with missing predictors (2008)
  247. Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation, Biometrika, vol. 96 (2008), pp. 149-162
  248. Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion), Journal of the American Statistical Association (2008)
  249. 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]
  250. Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling (December, 2007), pp. 163-188, Elsevier [doi]  [abs]
  251. 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]
  252. 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]
  253. 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]
  254. 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]
  255. 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]
  256. 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]
  257. 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]
  258. B. Cai and D.B. Dunson, Variable selection in nonparametric random effects models, submitted (2007)
  259. L.Wang and D.B. Dunson, Bayesian isotonic density regression (2007)
  260. 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]
  261. 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]
  262. 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]
  263. 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]
  264. 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]
  265. 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]
  266. Dunson, DB, Empirical bayes density regression, Statistica Sinica, vol. 17 no. 2 (2007), pp. 481-504, ISSN 1017-0405  [abs]
  267. 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]
  268. 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]
  269. Chen, Z; Dunson, DB, The authors replied as follows:, Biometrics, vol. 62 no. 2 (June, 2006), pp. 623-624, WILEY, ISSN 0006-341X [doi]
  270. Dunson, DB, Special issue of statistical methods in medical research on reproductive studies, Statistical Methods in Medical Research, vol. 15 no. 2 (April, 2006), pp. 91-92, SAGE Publications, ISSN 0962-2802 [doi]
  271. 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]
  272. 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]
  273. 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
  274. 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]
  275. 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]
  276. 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]
  277. 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]
  278. 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]
  279. 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]
  280. 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]
  281. 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]
  282. 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]
  283. Dunson, DB, Bayesian Biostatistics, Handbook of Statistics, vol. 25 (2005), pp. 743-761, Elsevier, ISSN 0169-7161 [doi]  [abs]
  284. Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes, Biostatistics, vol. 6 no. 1 (2005), pp. 11-25 [doi]  [abs]
  285. Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities, Biometrics, vol. 61 no. 1 (2005), pp. 126-133 [doi]  [abs]
  286. 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]
  287. 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]
  288. 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]
  289. 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]
  290. 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]
  291. 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]
  292. 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]
  293. 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]
  294. 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]
  295. 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]
  296. 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]
  297. Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis, Biometrics, vol. 60 no. 2 (2004), pp. 398-406 [doi]  [abs]
  298. 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]
  299. 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]
  300. 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]
  301. 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]
  302. 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]
  303. 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]
  304. 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]
  305. 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]
  306. 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]
  307. 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]
  308. 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]
  309. 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]
  310. 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]
  311. 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]
  312. 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]
  313. 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]
  314. 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]
  315. Chen, Z; Dunson, DB, Random Effects Selection in Linear Mixed Models, Biometrics, vol. 59 no. 4 (2003), pp. 762-769 [doi]  [abs]
  316. 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]
  317. 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]
  318. 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
  319. 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]
  320. 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]
  321. 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]
  322. 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]
  323. 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]
  324. 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]
  325. 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]
  326. 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]
  327. 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]
  328. 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]
  329. 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]
  330. 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]
  331. 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]
  332. Weinberg, CR; Dunson, DB, Some issues in assessing human fertility, in Statistics in the 21st Century (January, 2001), pp. 42-49, ISBN 1584882727  [abs]
  333. 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]
  334. 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]
  335. 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]
  336. 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]
  337. 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]
  338. 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]
  339. 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]
  340. 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]
  341. 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]
  342. 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]
  343. 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]
  344. 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]
  345. 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]
  346. 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]
  347. Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra, Genetics, vol. 156 no. 3 (2000), pp. 1411-1418  [abs]
  348. Dunson, DB, Assessing overall risk in reproductive experiments, Risk Analysis, vol. 20 no. 4 (2000), pp. 429-437 [doi]  [abs]
  349. 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]
  350. 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]
  351. 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]
  352. 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]
  353. 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]
  354. 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]

 

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