Math @ Duke

search www.stat.duke.edu.Papers Published
 Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian MultiPlate HighThroughput Screening of Compounds.,
Scientific Reports, vol. 8 no. 1
(June, 2018),
pp. 9551 [doi] [abs]
 Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage.,
Biometrika, vol. 105 no. 2
(June, 2018),
pp. 431446 [doi] [abs]
 Zhang, Z; Descoteaux, M; Zhang, J; Girard, G; Chamberland, M; Dunson, D; Srivastava, A; Zhu, H, Mapping populationbased structural connectomes.,
Neuroimage, vol. 172
(May, 2018),
pp. 130145 [doi] [abs]
 van den Boom, W; Schroeder, RA; Manning, MW; Setji, TL; Fiestan, GO; Dunson, DB, Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries.,
Diabetes Care, vol. 41 no. 4
(April, 2018),
pp. 782788 [doi] [abs]
 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
(January, 2018),
pp. 113 [doi] [abs]
 Dunson, DB, Statistics in the big data era: Failures of the machine,
Statistics & Probability Letters
(January, 2018) [doi] [abs]
 Bertrán, MA; Martínez, NL; Wang, Y; Dunson, D; Sapiro, G; Ringach, D, Active learning of cortical connectivity from twophoton imaging data.,
Plos One, vol. 13 no. 5
(January, 2018),
pp. e0196527 [doi] [abs]
 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. 140 [abs]
 Wheeler, MW; Dunson, DB; Herring, AH, Bayesian Local Extremum Splines.,
Biometrika, vol. 104 no. 4
(December, 2017),
pp. 939952, Oxford University Press (OUP) [abs]
 Shang, Y; Dunson, D; Song, JS, Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics,
Operations Research, vol. 65 no. 6
(December, 2017),
pp. 15741588 [doi]
 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. 15471552 [doi]
 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. 15161530 [doi] [abs]
 Reddy, A; Zhang, J; Davis, NS; Moffitt, AB; Love, CL; Waldrop, A; Leppa, S; Pasanen, A; Meriranta, L; KarjalainenLindsberg, ML; 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; BernalMizrachi, 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; AuYeung, RKH; Kwong, YL; 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. 481494.e15 [doi] [abs]
 Li, C; Srivastava, S; Dunson, DB, Simple, scalable and accurate posterior interval estimation,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 665680 [doi] [abs]
 Lock, EF; Dunson, DB, Bayesian genome and epigenomewide association studies with gene level dependence.,
Biometrics, vol. 73 no. 3
(September, 2017),
pp. 10181028 [doi] [abs]
 Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis.,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 649663 [doi] [abs]
 Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression,
Journal of Machine Learning Research, vol. 18
(August, 2017),
pp. 131 [abs]
 Schaich Borg, J; Srivastava, S; Lin, L; Heffner, J; Dunson, D; Dzirasa, K; de Lecea, L, Rat intersubjective decisions are encoded by frequencyspecific oscillatory contexts.,
Brain and Behavior, vol. 7 no. 6
(June, 2017),
pp. e00710 [doi] [abs]
 Zhu, B; Dunson, DB, Bayesian Functional Data Modeling for Heterogeneous Volatility,
Bayesian Analysis, vol. 12 no. 2
(June, 2017),
pp. 335350 [doi]
 Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian networkresponse regression.,
Bioinformatics (Oxford, England), vol. 33 no. 12
(June, 2017),
pp. 18591866 [doi] [abs]
 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. 561576 [doi] [abs]
 Ovaskainen, O; Tikhonov, G; Dunson, D; Grøtan, V; Engen, S; Sæther, BE; Abrego, N, How are species interactions structured in speciesrich communities? A new method for analysing timeseries data.,
Proceedings of the Royal Society B: Biological Sciences, vol. 284 no. 1855
(May, 2017),
pp. 2017076820170768 [doi] [abs]
 Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; AuYeung, RKH; Kwong, YL; 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, Enteropathyassociated T cell lymphoma subtypes are characterized by loss of function of SETD2.,
The Journal of Experimental Medicine, vol. 214 no. 5
(May, 2017),
pp. 13711386 [doi] [abs]
 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. 555580 [doi]
 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; DelfauLarue, MH; Fataccioli, V; Czader, MB; Lossos, IS; ChapmanFredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; MehtaShah, N; Horwitz, S; BernalMizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A; AuYeung, RKH; Srivastava, G; Choi, WWL; Goodlad, JR; Aurer, I; BasicKinda, 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 Tcell Lymphoma.,
Cancer Discovery, vol. 7 no. 4
(April, 2017),
pp. 369379 [doi] [abs]
 Tikhonov, G; Abrego, N; Dunson, D; Ovaskainen, O, Using joint species distribution models for evaluating how speciestospecies associations depend on the environmental context, edited by Warton, D,
Methods in Ecology and Evolution, vol. 8 no. 4
(April, 2017),
pp. 443452 [doi]
 Dunson, DB, Toward Automated Prior Choice,
Statistical Science, vol. 32 no. 1
(February, 2017),
pp. 4143 [doi]
 Abrego, N; Dunson, D; Halme, P; Salcedo, I; Ovaskainen, O, Woodinhabiting fungi with tight associations with other species have declined as a response to forest management,
Oikos, vol. 126 no. 2
(February, 2017) [doi]
 Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOGLINEAR MODELS.,
The Annals of Statistics, vol. 45 no. 1
(January, 2017),
pp. 138 [doi] [abs]
 Lin, L; St Thomas, B; Zhu, H; Dunson, DB, Extrinsic local regression on manifoldvalued data.,
Journal of the American Statistical Association, vol. 112 no. 519
(January, 2017),
pp. 12611273 [doi] [abs]
 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. 15161530 [doi]
 Lin, L; Rao, V; Dunson, D, Bayesian nonparametric inference on the Stiefel manifold,
Statistica Sinica
(2017) [doi]
 Datta, J; Dunson, DB, Bayesian inference on quasisparse count data.,
Biometrika, vol. 103 no. 4
(December, 2016),
pp. 971983 [doi] [abs]
 Bhattacharya, A; Dunson, DB; Pati, D; Pillai, NS, Suboptimality of some continuous shrinkage priors,
Stochastic Processes and Their Applications, vol. 126 no. 12
(December, 2016),
pp. 38283842 [doi]
 Durante, D; Dunson, DB, Locally adaptive dynamic networks,
The Annals of Applied Statistics, vol. 10 no. 4
(December, 2016),
pp. 22032232 [doi]
 Zhu, H; Strawn, N; Dunson, DB, Bayesian graphical models for multivariate functional data,
Journal of Machine Learning Research, vol. 17
(October, 2016),
pp. 127 [abs]
 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. 17911803 [doi]
 Li, D; Heyer, L; Jennings, VH; Smith, CA; Dunson, DB, Personalised estimation of a woman's most fertile days.,
European Journal of Contraception and Reproductive Health Care, vol. 21 no. 4
(August, 2016),
pp. 323328 [doi] [abs]
 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 CortexMediated SlowEvolving Limbic Dynamics Drives StressInduced Emotional Pathology.,
Neuron, vol. 91 no. 2
(July, 2016),
pp. 439452 [doi] [abs]
 Kunihama, T; Herring, A; Halpern, C; Dunson, D, Nonparametric Bayes modeling with sample survey weights,
Statistics & Probability Letters, vol. 113
(June, 2016),
pp. 4148 [doi]
 Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling.,
Biometrika, vol. 103 no. 2
(June, 2016),
pp. 319335 [doi] [abs]
 Ovaskainen, O; Abrego, N; Halme, P; Dunson, D, Using latent variable models to identify large networks of speciestospecies associations at different spatial scales, edited by Warton, D,
Methods in Ecology and Evolution, vol. 7 no. 5
(May, 2016),
pp. 549555 [doi]
 Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression,
Journal of Machine Learning Research, vol. 17
(May, 2016) [abs]
 Yang, Y; Dunson, DB, Bayesian Conditional Tensor Factorizations for HighDimensional Classification,
Journal of the American Statistical Association, vol. 111 no. 514
(April, 2016),
pp. 656669 [doi]
 Kabisa, ST; Dunson, DB; Morris, JS, Online Variational Bayes Inference for HighDimensional 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. 426444 [doi]
 Yang, Y; Dunson, DB, Bayesian manifold regression,
The Annals of Statistics, vol. 44 no. 2
(April, 2016),
pp. 876905 [doi]
 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. 184192 [doi] [abs]
 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. 6676 [doi] [abs]
 Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence,
Biometrika, vol. 103 no. 1
(March, 2016),
pp. 3547 [doi]
 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]
 Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing Cradle Artifacts in XRay Images of Paintings,
Siam Journal on Imaging Sciences, vol. 9 no. 3
(January, 2016),
pp. 12471272 [doi]
 Wang, X; Dunson, D; Leng, C, No penalty no tears: Least squares in highdimensional linear models,
33rd International Conference on Machine Learning, ICML 2016, vol. 4
(January, 2016),
pp. 26852706, ISBN 9781510829008 [abs]
 Wang, X; Dunson, D; Leng, C, DECOrrelated feature space partitioning for distributed sparse regression,
Advances in Neural Information Processing Systems
(January, 2016),
pp. 802810 [abs]
 Canale, A; Dunson, DB, Multiscale Bernstein polynomials for densities,
Statistica Sinica
(2016) [doi]
 Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression,
Journal of Machine Learning Research, vol. 16
(December, 2015),
pp. 25012542 [abs]
 Yazdani, A; Dunson, DB, A hybrid bayesian approach for genomewide association studies on related individuals.,
Bioinformatics (Oxford, England), vol. 31 no. 24
(December, 2015),
pp. 38903896 [doi] [abs]
 Lock, EF; Dunson, DB, Shared kernel Bayesian screening.,
Biometrika, vol. 102 no. 4
(December, 2015),
pp. 829842 [doi] [abs]
 Bhattacharya, A; Pati, D; Pillai, NS; Dunson, DB, DirichletLaplace priors for optimal shrinkage.,
Journal of the American Statistical Association, vol. 110 no. 512
(December, 2015),
pp. 14791490 [doi] [abs]
 Guhaniyogi, R; Dunson, DB, Bayesian Compressed Regression,
Journal of the American Statistical Association, vol. 110 no. 512
(October, 2015),
pp. 15001514 [doi]
 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. 15621576 [doi]
 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. 317320, ISBN 9781450336925 [doi] [abs]
 Hua, Z; Zhu, H; Dunson, DB, Semiparametric Bayes Local Additive Models for Longitudinal Data,
Statistics in Biosciences, vol. 7 no. 1
(May, 2015),
pp. 90107, ISSN 18671764 [doi] [abs]
 Li, D; Wilcox, AJ; Dunson, DB, Benchmark pregnancy rates and the assessment of postcoital contraceptives: an update.,
Contraception, vol. 91 no. 4
(April, 2015),
pp. 344349, ISSN 00107824 [doi] [abs]
 Lock, EF; Soldano, KL; Garrett, ME; Cope, H; Markunas, CA; Fuchs, H; Grant, G; Dunson, DB; Gregory, SG; AshleyKoch, 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]
 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]
 Kessler, DC; Hoff, PD; Dunson, DB, Marginally specified priors for nonparametric Bayesian estimation,
Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 77 no. 1
(January, 2015),
pp. 3558, ISSN 13697412 [doi] [abs]
 Kessler, DC; Hoff, PD; Dunson, DB, Marginally specified priors for nonparametric Bayesian estimation.,
Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 77 no. 1
(January, 2015),
pp. 3558, ISSN 13697412 [doi] [abs]
 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 MultiSensor Adaptive Processing, CAMSAP 2015
(January, 2015),
pp. 385388, ISBN 9781479919635 [doi] [abs]
 Srivastava, S; Cevher, V; TranDinh, Q; Dunson, DB, WASP: Scalable Bayes via barycenters of subset posteriors,
Journal of Machine Learning Research, vol. 38
(January, 2015),
pp. 912920 [abs]
 Wang, X; Leng, C; Dunson, DB, On the consistency theory of high dimensional variable screening,
Advances in Neural Information Processing Systems, vol. 2015January
(January, 2015),
pp. 24312439 [abs]
 Wang, X; Guo, F; Heller, KA; Dunson, DB, Parallelizing MCMC with random partition trees,
Advances in Neural Information Processing Systems, vol. 2015January
(January, 2015),
pp. 451459 [abs]
 Wang, Y; Dunson, D, Probabilistic curve learning: Coulomb repulsion and the electrostatic Gaussian process,
Advances in Neural Information Processing Systems, vol. 2015January
(January, 2015),
pp. 17381746 [abs]
 Canale, A; Dunson, DB, Bayesian multivariate mixedscale density estimation,
Statistics and Its Interface, vol. 8 no. 2
(2015),
pp. 195201, ISSN 19387989 [doi]
 Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference
(2015) [abs]
 Durante, D; Dunson, DB, Nonparametric Bayes dynamic modelling of relational data,
Biometrika, vol. 101 no. 4
(December, 2014),
pp. 883898 [doi]
 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. 14811494, ISSN 01621459 [doi] [abs]
 Durante, D; Dunson, DB, Bayesian dynamic financial networks with timevarying predictors,
Statistics & Probability Letters, vol. 93
(October, 2014),
pp. 1926, ISSN 01677152 [doi]
 Rodriguez, A; Dunson, DB, Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies,
The Annals of Applied Statistics, vol. 8 no. 3
(September, 2014),
pp. 14161442, ISSN 19326157 [doi]
 Kundu, S; Dunson, DB, Latent factor models for density estimation,
Biometrika, vol. 101 no. 3
(September, 2014),
pp. 641654, ISSN 00063444 [doi]
 Dunson, DB, Comment,
Journal of the American Statistical Association, vol. 109 no. 507
(July, 2014),
pp. 890891, ISSN 01621459 [doi]
 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. 894904, ISSN 01621459 [doi] [abs]
 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. 11021130, ISSN 00905364 [doi]
 Lin, L; Dunson, DB, Bayesian monotone regression using Gaussian process projection,
Biometrika, vol. 101 no. 2
(June, 2014),
pp. 303317, ISSN 00063444 [doi]
 Kessler, DC; Taylor, JA; Dunson, DB, Learning phenotype densities conditional on many interacting predictors.,
Bioinformatics (Oxford, England), vol. 30 no. 11
(June, 2014),
pp. 15621568, ISSN 13674803 [doi] [abs]
 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. 29882996, ISSN 00064971 [doi] [abs]
 Kundu, S; Dunson, DB, Bayes variable selection in semiparametric linear models.,
Journal of the American Statistical Association, vol. 109 no. 505
(March, 2014),
pp. 437447, ISSN 01621459 [doi] [abs]
 Cui, K; Dunson, DB, Generalized Dynamic Factor Models for MixedMeasurement 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. 169191, ISSN 10618600 [doi] [abs]
 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. 131, ISSN 00203157 [doi] [abs]
 Bhattacharya, A; Pati, D; Dunson, D, Anisotropic function estimation using multibandwidth Gaussian processes,
The Annals of Statistics, vol. 42 no. 1
(February, 2014),
pp. 352381 [doi]
 Yin, R; Dunson, D; Cornelis, B; Brown, B; Ocon, N; Daubechies, I; Yin, R; Dunson, D; Cornelis, B; Brown, B; Ocon, N; Daubechies, I, Digital cradle removal in Xray images of art paintingsDigital cradle removal in Xray images of art paintings,
2014 IEEE International Conference on Image Processing, ICIP 2014
(January, 2014),
pp. 42994303, ISBN 9781479957514 [doi] [abs]
 Rai, P; Wang, Y; Guo, S; Chen, G; Dunson, D; Carin, L, Scalable bayesian lowrank decomposition of incomplete multiway tensors,
31st International Conference on Machine Learning, ICML 2014, vol. 5
(January, 2014),
pp. 38103820, ISBN 9781634393973 [abs]
 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. 21952203, ISSN 10495258 [abs]
 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. 36293639, ISBN 9781634393973 [abs]
 Hannah, LA; Powell, WB; Dunson, DB, Semiconvex Regression for MetamodelingBased Optimization,
SIAM Journal on Optimization, vol. 24 no. 2
(January, 2014),
pp. 573597, ISSN 10526234 [doi]
 Durante, D; Scarpa, B; Dunson, DB, Locally adaptive factor processes for multivariate time series,
Journal of Machine Learning Research, vol. 15
(January, 2014),
pp. 14931522, ISSN 15324435 [abs]
 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. 13581382, ISSN 02664763 [doi] [abs]
 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. 10411071, ISSN 15324435 [abs]
 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. 4154, ISSN 00189294 [doi] [abs]
 Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks,
Journal of Machine Learning Research, vol. 33
(January, 2014),
pp. 194201 [abs]
 Scarpa, B; Dunson, DB, Enriched Stick Breaking Processes for Functional Data.,
Journal of the American Statistical Association, vol. 109 no. 506
(January, 2014),
pp. 647660 [doi] [abs]
 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. 4154 [doi] [abs]
 Chen, CWS; Dunson, D; FrühwirthSchnatter, S; Walker, SG, Special issue on Bayesian computing, methods and applications,
Computational Statistics & Data Analysis, vol. 71
(2014),
pp. 273, ISSN 01679473 [doi]
 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. 10111018, ISSN 00063444 [Gateway.cgi], [doi]
 Canale, A; Dunson, DB, Nonparametric Bayes modelling of count processes,
Biometrika, vol. 100 no. 4
(December, 2013),
pp. 801816, ISSN 00063444 [Gateway.cgi], [doi]
 Hannah, LA; Dunson, DB, Multivariate Convex Regression with Adaptive Partitioning,
Journal of Machine Learning Research, vol. 14
(November, 2013),
pp. 32613294, ISSN 15324435 [abs]
 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. 921928 [24051893], [doi] [abs]
 Lock, EF; Dunson, DB, Bayesian consensus clustering.,
Bioinformatics (Oxford, England), vol. 29 no. 20
(October, 2013),
pp. 26102616 [23990412], [doi] [abs]
 Zhu, B; AshleyKoch, AE; Dunson, DB, Generalized admixture mapping for complex traits.,
G3 (Bethesda, Md.), vol. 3 no. 7
(July, 2013),
pp. 11651175 [23665878], [doi] [abs]
 Murray, JS; Dunson, DB; Carin, L; Lucas, JE, Bayesian Gaussian Copula Factor Models for Mixed Data, vol. 108 no. 502
(June, 2013),
pp. 656665 [1111.0317v2], [doi] [abs]
 Cornelis, B; Yang, Y; Vogelstein, JT; Dooms, A; Daubechies, I; Dunson, D, Bayesian crack detection in ultra high resolution multimodal images of
paintings
(April, 2013) [1304.5894v2] [abs]
 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. 187201, ISSN 01621459 [doi] [abs]
 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; BernalMizrachi, 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 Bcell lymphoma.,
Proceedings of the National Academy of Sciences of the United States of America, vol. 110 no. 4
(January, 2013),
pp. 13981403 [23292937], [doi] [abs]
 Petralia, F; Vogelstein, J; Dunson, DB, Multiscale dictionary learning for estimating conditional distributions,
Advances in Neural Information Processing Systems
(January, 2013), ISSN 10495258 [abs]
 Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series,
Advances in Neural Information Processing Systems
(January, 2013), ISSN 10495258 [abs]
 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 01621459 [doi] [abs]
 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. 13241338, ISSN 01621459 [doi] [abs]
 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]
 Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models,
Journal of Machine Learning Research, vol. 31
(January, 2013),
pp. 2938 [abs]
 Banerjee, A; Murray, J; Dunson, DB, Bayesian learning of joint distributions of objects,
Journal of Machine Learning Research, vol. 31
(January, 2013),
pp. 19 [abs]
 Xing, Z; Nicholson, B; Jimenez, M; Veldman, T; Hudson, L; Lucas, J; Dunson, D; Zaas, AK; Woods, CW; Ginsburg, GS; Carin, L, Bayesian modeling of temporal properties of infectious disease in a college student population,
Journal of Applied Statistics, vol. 41 no. 6
(2013),
pp. 13581382, ISSN 02664763 [doi]
 Chen, CWS; Dunson, D; FrühwirthSchnatter, S; Walker, SG, Special issue on Bayesian computing, methods and applications,
Computational Statistics & Data Analysis
(2013), ISSN 01679473 [doi]
 Li, D; Longnecker, MP; Dunson, DB, Lipid adjustment for chemical exposures: Accounting for concomitant variables,
Epidemiology (Cambridge, Mass.), vol. 24 no. 6
(2013),
pp. 921928, ISSN 10443983 [doi] [abs]
 Armagan, A; Dunson, DB; Lee, J, Generalized double pareto shrinkage,
Statistica Sinica, vol. 23 no. 1
(2013),
pp. 119143, ISSN 10170405 [doi] [abs]
 Yang, H; Liu, F; Ji, C; Dunson, D, Adaptive sampling for Bayesian geospatial models,
Statistics and Computing
(2013),
pp. 110, ISSN 09603174 [doi] [abs]
 Salazar, E; Dunson, DB; Carin, L, Analysis of spacetime relational data with application to legislative voting,
Computational Statistics & Data Analysis, vol. 68
(2013),
pp. 141154, ISSN 01679473 [doi] [abs]
 Yu, K; Chen, CWS; Reed, C; Dunson, DB, Bayesian variable selection in quantile regression,
Statistics and Its Interface, vol. 6 no. 2
(2013),
pp. 261274, ISSN 19387989 [Gateway.cgi]
 Pati, D; Dunson, DB, Bayesian nonparametric regression with varying residual density,
Annals of the Institute of Statistical Mathematics
(2013),
pp. 131, ISSN 00203157 [doi] [abs]
 Pati, D; Dunson, DB; Tokdar, ST, Posterior consistency in conditional distribution estimation,
Journal of Multivariate Analysis, vol. 116
(2013),
pp. 456472, ISSN 0047259X [doi] [abs]
 Wang, E; Salazar, E; Dunson, D; Carin, L, Spatiotemporal modeling of legislation and votes,
Bayesian Analysis, vol. 8 no. 1
(2013),
pp. 233268, ISSN 19360975 [doi] [abs]
 Banerjee, A; Dunson, DB; Tokdar, ST, Efficient Gaussian process regression for large datasets,
Biometrika, vol. 100 no. 1
(2013),
pp. 7589 [1106.5779v1], [doi] [abs]
 Zhu, B; Dunson, DB; AshleyKoch, AE, Adverse subpopulation regression for multivariate outcomes with highdimensional predictors.,
Statistics in Medicine, vol. 31 no. 29
(December, 2012),
pp. 41024113 [22825854], [doi] [abs]
 Petralia, F; Rao, V; Dunson, DB, Repulsive mixtures,
Advances in Neural Information Processing Systems, vol. 3
(December, 2012),
pp. 18891897, ISSN 10495258 [abs]
 Ding, M; He, L; Dunson, D; Carin, L, Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous SpaceTime Poisson Process.,
Bayesian Analysis, vol. 7 no. 4
(December, 2012),
pp. 813840, ISSN 19316690 [Gateway.cgi], [doi] [abs]
 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; BernalMizrachi, 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. 13211325 [23143597], [doi] [abs]
 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. 10641073 [23005895], [doi] [abs]
 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. 13431350 [repository] [abs]
 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. 687714, ISSN 00203157 [doi] [abs]
 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. 362377, ISSN 01621459 [doi] [abs]
 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. 130144 [21693421], [doi] [abs]
 Dunson, DB; Xing, C, Nonparametric Bayes Modeling of Multivariate Categorical Data.,
Journal of the American Statistical Association, vol. 104 no. 487
(2009),
pp. 10421051, ISSN 01621459 [doi] [abs]
 Carin, L; Hero, A; Lucas, J; Dunson, D; Chen, M; Heñao, R; TibauPuig, A; Zaas, A; Woods, CW; Ginsburg, GS, HighDimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.,
Ieee Signal Processing Magazine, vol. 29 no. 1
(January, 2012),
pp. 108123 [doi]
 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. 409421 [abs]
 Zhou, M; Hannah, L; Dunson, D; Carin, L, BetaNegative Binomial Process and Poisson Factor Analysis, vol. 22
(January, 2012),
pp. 14621471 [abs]
 Fox, EB; Dunson, DB, Multiresolution Gaussian processes,
Advances in Neural Information Processing Systems, vol. 1
(2012),
pp. 737745, ISSN 10495258 [abs]
 Bhattacharya, A; Dunson, D, Nonparametric Bayes classification and hypothesis testing on manifolds,
Journal of Multivariate Analysis, vol. 111
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pp. 119, ISSN 0047259X [doi] [abs]
 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. 460474, ISSN 10538119 [doi] [abs]
 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. 369376 [abs]
 Shterev, ID; Dunson, DB, Bayesian watermark attacks,
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol. 1
(2012),
pp. 695702 [abs]
 Canale, A; Dunson, DB, Bayesian Kernel Mixtures for Counts.,
Journal of the American Statistical Association, vol. 106 no. 496
(December, 2011),
pp. 15281539, ISSN 01621459 [doi] [abs]
 Hannah, LA; Dunson, DB, Approximate dynamic programming for storage problems,
Proceedings of the 28th International Conference on Machine Learning, Icml 2011
(October, 2011),
pp. 337344 [abs]
 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. 361368 [abs]
 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. 807817, ISSN 01621459 [22505787], [doi] [abs]
 Wang, L; Dunson, DB, Semiparametric bayes' proportional odds models for current status data with underreporting.,
Biometrics, vol. 67 no. 3
(September, 2011),
pp. 11111118, ISSN 0006341X [doi] [abs]
 Xing, C; Dunson, DB, Bayesian inference for genomic data integration reduces misclassification rate in predicting proteinprotein interactions.,
Plos Computational Biology, vol. 7 no. 7
(July, 2011),
pp. e1002110 [21829334], [doi] [abs]
 Bhattacharya, A; Dunson, DB, Sparse Bayesian infinite factor models.,
Biometrika, vol. 98 no. 2
(June, 2011),
pp. 291306, ISSN 00063444 [23049129], [doi] [abs]
 Page, GL; Dunson, DB, Bayesian Local Contamination Models for Multivariate Outliers.,
Technometrics, vol. 53 no. 2
(May, 2011),
pp. 152162, ISSN 00401706 [doi] [abs]
 Dzirasa, K; McGarity, DL; Bhattacharya, A; Kumar, S; Takahashi, JS; Dunson, D; McClung, CA; Nicolelis, MAL, Impaired limbic gamma oscillatory synchrony during anxietyrelated 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. 64496456 [21525286], [doi] [abs]
 Rodríguez, A; Dunson, DB, Nonparametric Bayesian models through probit stickbreaking processes.,
Bayesian Analysis, vol. 6 no. 1
(March, 2011),
pp. 145178, ISSN 19360975 [doi] [abs]
 Carin, L; Baraniuk, RG; Cevher, V; Dunson, D; Jordan, MI; Sapiro, G; Wakin, MB, Learning LowDimensional Signal Models: A Bayesian approach based on incomplete measurements.,
Ieee Signal Processing Magazine, vol. 28 no. 2
(March, 2011),
pp. 3951, ISSN 10535888 [doi] [abs]
 Ren, L; Du, L; Carin, L; Dunson, DB, Logistic StickBreaking Process.,
Journal of Machine Learning Research, vol. 12 no. Jan
(January, 2011),
pp. 203239, ISSN 15324435 [abs]
 Gordon, GJ; Dunson, D, Preface to the proceedings of AISTATS 2011,
Journal of Machine Learning Research, vol. 15
(2011),
pp. 12, ISSN 15324435
 Pati, D; Reich, BJ; Dunson, DB, Bayesian geostatistical modelling with informative sampling locations,
Biometrika, vol. 98 no. 1
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pp. 3548, ISSN 00063444 [doi] [abs]
 Armagan, A; Dunson, D, Sparse variational analysis of linear mixed models for large data sets,
Statistics & Probability Letters, vol. 81 no. 8
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pp. 10561062, ISSN 01677152 [doi] [abs]
 Wang, L; Dunson, DB, Bayesian isotonic density regression,
Biometrika, vol. 98 no. 3
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pp. 537551, ISSN 00063444 [doi] [abs]
 Armagan, A; Dunson, DB; Clyde, MA, Generalized Beta Mixtures of Gaussians, edited by ShaweTaylor, J; Zemel, RS; Bartlett, PL,
Advances in Neural Information Processing Systems, vol. 24
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 Zhou, M; Yang, H; Sapiro, G; Dunson, D; Carin, L, Covariatedependent dictionary learning and sparse coding,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp)
(2011),
pp. 58245827, ISSN 15206149 [doi] [abs]
 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. 377384 [abs]
 Zhang, X; Dunson, DB; Carin, L, Treestructured infinite sparse factor model,
Proceedings of the 28th International Conference on Machine Learning, ICML 2011
(2011),
pp. 785792 [abs]
 Zhang, XX; Dunson, DB; Carin, L, Hierarchical topic modeling for analysis of timeevolving personal choices,
Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011
(2011) [abs]
 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
(2011) [abs]
 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
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pp. 883891, ISSN 15324435 [abs]
 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 (61406155)),
Ieee Transactions on Signal Processing, vol. 59 no. 3
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pp. 1329, ISSN 1053587X [doi]
 Chen, M; Zaas, A; Woods, C; Ginsburg, GS; Lucas, J; Dunson, D; Carin, L, Predicting viral infection from highdimensional biomarker trajectories,
Journal of the American Statistical Association, vol. 106 no. 496
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pp. 12591279, ISSN 01621459 [doi] [abs]
 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
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pp. 61406155, ISSN 1053587X [doi] [abs]
 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 geneexpression analysis: application to human virus challenge studies.,
Bmc Bioinformatics, vol. 11
(November, 2010),
pp. 552 [21062443], [doi] [abs]
 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
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pp. 5565, ISSN 10535888 [doi] [abs]
 Yang, M; Dunson, DB; Baird, D, Semiparametric Bayes hierarchical models with mean and variance constraints.,
Computational Statistics & Data Analysis, vol. 54 no. 9
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pp. 21722186, ISSN 01679473 [doi] [abs]
 Mitra, R; Dunson, D, Twolevel stochastic search variable selection in GLMs with missing predictors,
International Journal of Biostatistics, vol. 6 no. 1
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 Gordon, GJ; Dunson, D, Preface to the Proceedings of AISTATS 2011,
Journal of Machine Learning Research, vol. 9
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pp. 12, ISSN 15324435
 Stanford, JB; Mikolajczyk, RT; Dunson, DB, Are Chinese people really more fertile?,
Fertility and Sterility, vol. 94 no. 3
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 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
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pp. 213216 [doi] [abs]
 Wang, E; Liu, D; Silva, J; Dunson, D; Carin, L, Joint analysis of timeevolving binary matrices and associated documents,
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010
(2010) [abs]
 Wang, C; Liao, X; Carin, L; Dunson, DB, Classification with incomplete data using dirichlet process priors,
Journal of Machine Learning Research, vol. 11
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pp. 32693311, ISSN 15324435 [abs]
 Baird, DD; Travlos, G; Wilson, R; Dunson, DB; Hill, MC; D'Aloisio, AA; London, SJ; Schectman, JM, Uterine leiomyomata in relation to insulinlike growth factorI, insulin, and diabetes.,
Epidemiology (Cambridge, Mass.), vol. 20 no. 4
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pp. 604610, ISSN 10443983 [doi] [abs]
 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
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pp. 306320, ISSN 10618600 [doi] [abs]
 Dunson, DB, Bayesian nonparametric hierarchical modeling.,
Biometrical Journal, vol. 51 no. 2
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 Rodríguez, A; Dunson, DB; Gelfand, AE, Bayesian Nonparametric Functional Data Analysis Through Density Estimation.,
Biometrika, vol. 96 no. 1
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pp. 149162, ISSN 00063444 [doi] [abs]
 Dunson, DB, Nonparametric Bayes local partition models for random effects.,
Biometrika, vol. 96 no. 2
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pp. 249262, ISSN 00063444 [doi] [abs]
 Ren, L; Dunson, DB; Lindroth, S; Carin, L, Music analysis with a Bayesian dynamic model,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp)
(2009),
pp. 16811684, ISSN 15206149 [doi] [abs]
 Wang, C; An, Q; Carin, L; Dunson, DB, Multitask classification with infinite local experts,
2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp)
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pp. 15691572, ISSN 15206149 [doi] [abs]
 Dunson, DB, Comment on article by Craigmile et al.,
Bayesian Analysis, vol. 4 no. 1
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 Ji, S; Dunson, D; Carin, L, Multitask compressive sensing,
Ieee Transactions on Signal Processing, vol. 57 no. 1
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 Rodriguez, A; Dunson, DB; Taylor, J, Bayesian hierarchically weighted finite mixture models for samples of distributions,
Biostatistics (Oxford, England), vol. 10 no. 1
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pp. 155171, ISSN 14654644 [doi] [abs]
 Scarpa, B; Dunson, DB, Bayesian hierarchical functional data analysis via contaminated informative priors,
Biometrics, vol. 65 no. 3
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 Bigelow, JL; Dunson, DB, Bayesian semiparametric joint models for functional predictors,
Journal of the American Statistical Association, vol. 104 no. 485
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pp. 2636, ISSN 01621459 [doi] [abs]
 Dunson, DB; Peddada, SD, Bayesian nonparametric inference on stochastic ordering,
Biometrika, vol. 95 no. 4
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pp. 859874, ISSN 00063444 [doi] [abs]
 Elliott, L; Henderson, J; Northstone, K; Chiu, GY; Dunson, D; London, SJ, Prospective study of breastfeeding 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
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pp. 4954.e3, ISSN 00916749 [doi] [abs]
 Dunson, DB; Park, JH, Kernel stickbreaking processes,
Biometrika, vol. 95 no. 2
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Journal of the American Statistical Association, vol. 103 no. 481
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 Rodríguez, A; Dunson, DB; Gelfand, AE, The nested dirichlet process,
Journal of the American Statistical Association, vol. 103 no. 483
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 Rodríguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process: Rejoinder,
Journal of the American Statistical Association, vol. 103 no. 483
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pp. 11531154, ISSN 01621459 [doi]
 Qi, Y; Liu, D; Dunson, D; Carin, L, Multitask compressive sensing with dirichlet process priors,
Proceedings of the 25th International Conference on Machine Learning
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pp. 768775 [abs]
 An, Q; Wang, C; Shterev, I; Wang, E; Carin, L; Dunson, DB, Hierarchical kernel stickbreaking process for multitask image analysis,
Proceedings of the 25th International Conference on Machine Learning
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pp. 1724 [abs]
 Ren, L; Dunson, DB; Carin, L, The dynamic hierarchical Dirichlet process,
Proceedings of the 25th International Conference on Machine Learning
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pp. 824831 [abs]
 Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation,
Biometrika, vol. 96
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 Dunson, DB; Herring, AH; SiegaRiz, AM, Bayesian inference on changes in response densities over predictor clusters,
Journal of the American Statistical Association, vol. 103 no. 484
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pp. 15081517, ISSN 01621459 [doi] [abs]
 Ni, K; Paisley, J; Carin, L; Dunson, D, Multitask learning for analyzing and sorting large databases of sequential data,
Ieee Transactions on Signal Processing, vol. 56 no. 8 II
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 Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion),
Journal of the American Statistical Association
(2008)
 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
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 Pennell, ML; Dunson, DB, Nonparametric Bayes testing of changes in a response distribution with an ordinal predictor,
Biometrics, vol. 64 no. 2
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 Dunson, DB; Xue, Y; Carin, L, The matrix stickbreaking process: Flexible Bayes metaanalysis,
Journal of the American Statistical Association, vol. 103 no. 481
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pp. 317327, ISSN 01621459 [doi] [abs]
 Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling
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pp. 163188 [doi] [abs]
 Kinney, SK; Dunson, DB, Fixed and random effects selection in linear and logistic models.,
Biometrics, vol. 63 no. 3
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 Bigelow, JL; Dunson, DB, Bayesian adaptive regression splines for hierarchical data.,
Biometrics, vol. 63 no. 3
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 Dunson, DB; Pillai, N; Park, JH, Bayesian density regression,
Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 69 no. 2
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pp. 163183, ISSN 13697412 [doi] [abs]
 MacLehose, RF; Dunson, DB; Herring, AH; Hoppin, JA, Bayesian methods for highly correlated exposure data.,
Epidemiology (Cambridge, Mass.), vol. 18 no. 2
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pp. 199207, ISSN 10443983 [doi] [abs]
 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
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 Scarpa, B; Dunson, DB, Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy,
Statistics in Medicine, vol. 26 no. 9
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 Stanford, JB; Dunson, DB, Effects of sexual intercourse patterns in time to pregnancy studies,
American Journal of Epidemiology, vol. 165 no. 9
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 Dunson, DB, Bayesian methods for latent trait modelling of longitudinal data,
Statistical Methods in Medical Research, vol. 16 no. 5
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 Xue, Y; Dunson, D; Carin, L, The matrix stickbreaking process for flexible multitask learning,
ACM International Conference Proceeding Series, vol. 227
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 Ni, K; Carin, L; Dunson, D, Multitask learning for sequential data via iHMMs and the nested Dirichlet process,
ACM International Conference Proceeding Series, vol. 227
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 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. 915924, ISSN 00150282 [doi] [abs]
 Cai, B; Dunson, DB, Bayesian multivariate isotonic regression splines: Applications to carcinogenicity studies,
Journal of the American Statistical Association, vol. 102 no. 480
(2007),
pp. 11581171, ISSN 01621459 [doi] [abs]
 Pennell, ML; Dunson, DB, Fitting semiparametric random effects models to large data sets,
Biostatistics (Oxford, England), vol. 8 no. 4
(2007),
pp. 821834, ISSN 14654644 [doi] [abs]
 Dunson, DB, Empirical bayes density regression,
Statistica Sinica, vol. 17 no. 2
(2007),
pp. 481504, ISSN 10170405 [abs]
 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. 130135, ISSN 10715576 [doi] [abs]
 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. 7278 [doi] [abs]
 Dunson, DB, Special issue of statistical methods in medical research on reproductive studies,
Statistical Methods in Medical Research, vol. 15 no. 2
(2006),
pp. 9192, ISSN 09622802 [doi]
 Chen, Z; Dunson, DB, The authors replied as follows [2],
Biometrics, vol. 62 no. 2
(2006),
pp. 623624, ISSN 0006341X [doi]
 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
(2006),
pp. 30903100, ISSN 03783758 [doi] [abs]
 Stanford, JB; Dunson, DB, Foreword. Expanding Methodologies for Capturing DaySpecific Probabilities of Conception.,
Paediatric and Perinatal Epidemiology, vol. 20 Suppl 1
(2006),
pp. 12, ISSN 02695022
 Stanford, JB; Dunson, DB, Paediatric and Perinatal Epidemiology: Foreword,
Paediatric and Perinatal Epidemiology, vol. 20 no. SUPPL. 1
(2006),
pp. 12, ISSN 02695022 [doi]
 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. 3037, ISSN 02695022 [doi] [abs]
 Pennell, ML; Dunson, DB, Bayesian semiparametric dynamic frailty models for multiple event time data,
Biometrics, vol. 62 no. 4
(2006),
pp. 10441052+1284, ISSN 0006341X [html], [doi] [abs]
 Cai, B; Dunson, DB, Bayesian covariance selection in generalized linear mixed models,
Biometrics, vol. 62 no. 2
(2006),
pp. 446457, ISSN 0006341X [html], [doi] [abs]
 Dunson, DB, Bayesian dynamic modeling of latent trait distributions,
Biostatistics (Oxford, England), vol. 7 no. 4
(2006),
pp. 551568, ISSN 14654644 [doi] [abs]
 Hans, C; Dunson, DB, Bayesian inferences on umbrella orderings.,
Biometrics, vol. 61 no. 4
(December, 2005),
pp. 10181026, ISSN 0006341X [16401275], [doi] [abs]
 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. 127133, ISSN 00139351 [doi] [abs]
 Dunson, DB, Bayesian Biostatistics,
Handbook of Statistics, vol. 25
(2005),
pp. 743761, ISSN 01697161 [doi] [abs]
 Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes,
Biostatistics, vol. 6 no. 1
(2005),
pp. 1125 [doi] [abs]
 Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities,
Biometrics, vol. 61 no. 1
(2005),
pp. 126133 [doi] [abs]
 Dunson, DB; Herring, AH, Bayesian model selection and averaging in additive and proportional hazards models,
Lifetime Data Analysis, vol. 11 no. 2
(2005),
pp. 213232 [doi] [abs]
 Dunson, DB; Taylor, JA, Approximate Bayesian inference for quantites,
Journal of Nonparametric Statistics, vol. 17 no. 3
(2005),
pp. 385400 [doi] [abs]
 Gunn, LH; Dunson, DB, A transformation approach for incorporating monotone or unimodal constraints,
Biostatistics (Oxford, England), vol. 6 no. 3
(2005),
pp. 434449, ISSN 14654644 [doi] [abs]
 Law, DCG; Klebanoff, MA; Brock, JW; Dunson, DB; Longnecker, MP, Maternal serum levels of polychlorinated biphenyls and 1,1dichloro2,2 bis(pchlorophenyl)ethylene (DDE) and time to pregnancy,
American Journal of Epidemiology, vol. 162 no. 6
(2005),
pp. 523532 [doi] [abs]
 Peddada, SD; Dunson, DB; Tan, X, Estimation of orderrestricted means from correlated data,
Biometrika, vol. 92 no. 3
(2005),
pp. 703715 [doi] [abs]
 Gueorguieva, RV; Chen, Z; Dunson, DB, Comments about joint modeling of cluster size and binary and continuous subunitspecific outcomes,
Biometrics, vol. 61 no. 3
(2005),
pp. 862867+896, ISSN 0006341X [doi] [abs]
 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. 788793, ISSN 00297844 [doi] [abs]
 Dunson, DB, Bayesian semiparametric isotonic regression for count data,
Journal of the American Statistical Association, vol. 100 no. 470
(2005),
pp. 618627, ISSN 01621459 [doi] [abs]
 O'Brien, SM; Dunson, DB, Bayesian multivariate logistic regression.,
Biometrics, vol. 60 no. 3
(September, 2004),
pp. 739746, ISSN 0006341X [15339297], [doi] [abs]
 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. 15391543, ISSN 02681161 [15190016], [doi] [abs]
 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. 889892 [doi] [abs]
 Dunson, DB; Baird, DD; Colombo, B, Increased infertility with age in men and women.,
Obstetrics and Gynecology, vol. 103 no. 1
(January, 2004),
pp. 5156 [doi] [abs]
 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. 8793 [abs]
 Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis,
Biometrics, vol. 60 no. 2
(2004),
pp. 398406 [doi] [abs]
 Chen, Z; Dunson, DB, Bayesian estimation of survival functions under stochastic precedence,
Lifetime Data Analysis, vol. 10 no. 2
(2004),
pp. 159173 [doi] [abs]
 Dunson, DB; Chen, Z, Selecting factors predictive of heterogeneity in multivariate event time data,
Biometrics, vol. 60 no. 2
(2004),
pp. 352358 [doi] [abs]
 Slama, R; Ducot, BE; Keiding, N; Bouyer, J; Joffe, M; Key, J; Best, N; Jensen, TK; Stanford, JB; Dunson, DB; Tingen, C, Studying human fertility and environmental exposures (multiple letters) [1],
Environmental Health Perspectives, vol. 112 no. 11
(2004),
pp. A604A606, ISSN 00916765
 Dunson, DB; Holloman, C; Calder, C; Gunn, LH, Bayesian modeling of multiple lesion onset and growth from intervalcensored data,
Biometrics, vol. 60 no. 3
(2004),
pp. 676683, ISSN 0006341X [doi] [abs]
 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. 926935, ISSN 0006341X [doi] [abs]
 Trouba, K; Nyska, A; Styblo, M; Dunson, D; Lomnitski, L; Grossman, S; Moser, G; Suttie, A; Patterson, R; Walton, F; Germolec, D, Effect of antioxidants on the papilloma response and liver glutathione modulation mediated by arsenic in tg.ac transgenic mice,
Arsenic Exposure and Health Effects V
(December, 2003),
pp. 283293 [doi] [abs]
 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. 100107 [doi] [abs]
 Dunson, DB; Colombo, B, Bayesian modeling of markers of dayspecific fertility,
Journal of the American Statistical Association, vol. 98 no. 461
(2003),
pp. 2837 [doi] [abs]
 Chulada, PC; Jr, SJA; Dunson, D; Zeldin, DC, Breastfeeding and the prevalence of asthma and wheeze in children: Analyses from the Third National Health and Nutrition Examination Survey, 19881994,
Journal of Allergy and Clinical Immunology, vol. 111 no. 2
(2003),
pp. 328336 [doi] [abs]
 Dunson, DB; Chulada, P; Jr, SJA, Bayesian modeling of timevarying and waning exposure effects,
Biometrics, vol. 59 no. 1
(2003),
pp. 8391 [doi] [abs]
 Baird, DD; Dunson, DB, Why is parity protective for uterine fibroids?,
Epidemiology, vol. 14 no. 2
(2003),
pp. 247250 [doi] [abs]
 Dunson, DB, Incorporating heterogeneous intercourse records into time to pregnancy models,
Mathematical Population Studies, vol. 10 no. 2
(2003),
pp. 127143, ISSN 08898480 [doi] [abs]
 Stanford, JB; Smith, KR; Dunson, DB, Vulvar mucus observations and the probability of pregnancy,
Obstetrics and Gynecology, vol. 101 no. 6
(2003),
pp. 12851293 [doi] [abs]
 Dunson, DB; Chen, Z; Harry, J, A Bayesian approach for joint modeling of cluster size and subunitspecific outcomes,
Biometrics, vol. 59 no. 3
(2003),
pp. 521530 [doi] [abs]
 Dunson, DB; Watson, M; Taylor, JA, Bayesian latent variable models for median regression on multiple outcomes,
Biometrics, vol. 59 no. 2
(2003),
pp. 296304 [doi] [abs]
 Dunson, DB; Neelon, B, Bayesian inference on orderconstrained parameters in generalized linear models,
Biometrics, vol. 59 no. 2
(2003),
pp. 286295 [doi] [abs]
 Dunson, DB, Dynamic Latent Trait Models for Multidimensional Longitudinal Data,
Journal of the American Statistical Association, vol. 98 no. 463
(2003),
pp. 555563 [doi] [abs]
 Dunson, DB; Herring, AH, Bayesian Inferences in the Cox Model for OrderRestricted Hypotheses,
Biometrics, vol. 59 no. 4
(2003),
pp. 916923 [doi] [abs]
 Chen, Z; Dunson, DB, Random Effects Selection in Linear Mixed Models,
Biometrics, vol. 59 no. 4
(2003),
pp. 762769 [doi] [abs]
 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. 13991403, ISSN 02681161 [doi] [abs]
 Dunson, DB; Colombo, B, TwoDay Algorithm in predicting fertile time (multiple letters),
Human Reproduction, vol. 17 no. 7
(2002),
pp. 19251926, ISSN 02681161
 Dunson, DB; Dinse, GE, Bayesian models for multivariate current status data with informative censoring,
Biometrics, vol. 58 no. 1
(2002),
pp. 7988, ISSN 0006341X [abs]
 Dunson, DB; Baird, DD, A proportional hazards model for incidence and induced remission of disease,
Biometrics, vol. 58 no. 1
(2002),
pp. 7178, ISSN 0006341X [abs]
 Dollé, MET; Snyder, WK; Dunson, DB; Vijg, J, Mutational fingerprints of aging,
Nucleic Acids Research, vol. 30 no. 2
(2002),
pp. 545549, ISSN 03051048 [abs]
 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 COX2 alters epidermal differentiation and reduces mouse skin tumorigenesis,
Cancer Research, vol. 62 no. 12
(2002),
pp. 33953401 [abs]
 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
(2002),
pp. 14211444, ISSN 10807039 [doi] [abs]
 Dunson, DB; Baird, DD, Bayesian modeling of incidence and progression of disease from crosssectional data,
Biometrics, vol. 58 no. 4
(2002),
pp. 813822 [abs]
 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. 17591761, ISSN 00987484 [doi] [abs]
 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. 127135, ISSN 00221899 [11424008], [doi] [abs]
 Dunson, DB, Commentary: practical advantages of Bayesian analysis of epidemiologic data.,
American Journal of Epidemiology, vol. 153 no. 12
(June, 2001),
pp. 12221226 [doi] [abs]
 Nyska, A; Lomnitski, L; Spalding, J; Dunson, DB; Goldsworthy, TL; BenShaul, V; Grossman, S; Bergman, M; Boorman, G, Topical and oral administration of the natural watersoluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model.,
Toxicology Letters, vol. 122 no. 1
(May, 2001),
pp. 3344, ISSN 03784274 [doi] [abs]
 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 postcoital contraceptives.,
Contraception, vol. 63 no. 4
(April, 2001),
pp. 211215, ISSN 00107824 [11376648], [doi] [abs]
 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. 22782282, ISSN 02681161 [abs]
 Dunson, DB, Bayesian modeling of the level and duration of fertility in the menstrual cycle,
Biometrics, vol. 57 no. 4
(2001),
pp. 10671073 [abs]
 Dunson, DB; Perreault, SD, Factor analytic models of clustered multivariate data with informative censoring,
Biometrics, vol. 57 no. 1
(2001),
pp. 302308, ISSN 0006341X [abs]
 Dunson, DB, Modeling of changes in tumor burden,
Journal of Agricultural, Biological, and Environmental Statistics, vol. 6 no. 1
(2001),
pp. 3848 [doi] [abs]
 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
(2001),
pp. 125141 [abs]
 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. 965978, ISSN 02776715 [doi] [abs]
 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. 396403 [abs]
 Nyska, A; Lomnitski, L; Spalding, J; Dunson, DB; Goldsworthy, TL; BenShaul, V; Grossman, S; Bergman, M; Boorman, G, Erratum: Topical and oral administration of the natural watersoluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model (Toxicology Letters (2001) 122 (3344) PII: S0378427401003459),
Toxicology Letters, vol. 123 no. 23
(2001),
pp. 237, ISSN 03784274 [doi]
 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. 12591262, ISSN 09598146 [doi] [abs]
 Dunson, DB; Haseman, JK; Birgelen, APJMV; Stasiewicz, S; Tennant, RW, Statistical analysis of skin tumor data from Tg.AC mouse bioassays,
Toxicological Sciences, vol. 55 no. 2
(2000),
pp. 293302 [abs]
 Dunson, DB; Weinberg, CR, Modeling human fertility in the presence of measurement error,
Biometrics, vol. 56 no. 1
(2000),
pp. 288292, ISSN 0006341X [abs]
 Weinberg, CR; Dunson, DB, Some Issues in Assessing Human Fertility,
Journal of the American Statistical Association, vol. 95 no. 449
(2000),
pp. 300303, ISSN 01621459
 Dunson, DB; Weinberg, CR, Accounting for unreported and missing intercourse in human fertility studies,
Statistics in Medicine, vol. 19 no. 5
(2000),
pp. 665679, ISSN 02776715 [doi] [abs]
 Dunson, DB; Zhou, H, A Bayesian Model for Fecundability and Sterility,
Journal of the American Statistical Association, vol. 95 no. 452
(2000),
pp. 10541062, ISSN 01621459 [abs]
 Dunson, DB; Dinse, GE, Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments,
Biometrics, vol. 56 no. 4
(2000),
pp. 10681075 [abs]
 Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra,
Genetics, vol. 156 no. 3
(2000),
pp. 14111418 [abs]
 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
(2000),
pp. 1930 [abs]
 Dunson, DB, Bayesian latent variable models for clustered mixed outcomes,
Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 62 no. 2
(2000),
pp. 355366 [abs]
 Dunson, DB, Assessing overall risk in reproductive experiments,
Risk Analysis, vol. 20 no. 4
(2000),
pp. 429437 [doi] [abs]
 Dunson, DB; Baird, DD; Wilcox, AJ; Weinberg, CR, Dayspecific probabilities of clinical pregnancy based on two studies with imperfect measures of ovulation,
Human Reproduction, vol. 14 no. 7
(1999),
pp. 18351839, ISSN 02681161 [doi] [abs]
 Dunson, DB; Weinberg, CR; Perreault, SD; Chapin, RE, Summarizing the motion of selfpropelled cells: Applications to sperm motility,
Biometrics, vol. 55 no. 2
(1999),
pp. 537543, ISSN 0006341X [abs]
 Dunson, WA; Dunson, DB, Factors influencing growth and survival of the killifish, Rivulus marmoratus, held inside enclosures in mangrove swamps,
Copeia no. 3
(1999),
pp. 661668 [abs]
 Dunson, DB; Haseman, JK, Modeling tumor onset and multiplicity using transition models with latent variables,
Biometrics, vol. 55 no. 3
(1999),
pp. 965970, ISSN 0006341X [abs]
 Dunson, WA; Paradise, CJ; Dunson, DB, Inhibitory effect of low salinity on growth and reproduction of the estuarine sheepshead minnow, Cyprinodon variegatus,
Copeia no. 1
(1998),
pp. 235239
 Dunson, DB, Dosedependent number of implants and implications in developmental toxicity,
Biometrics, vol. 54 no. 2
(1998),
pp. 558569, ISSN 0006341X [doi] [abs]
Papers Accepted
 Chung, Y; Dunson, DB, The local Dirichlet process.,
Annals of the Institute of Statistical Mathematics, vol. 63 no. 1
(2009),
pp. 5980, ISSN 00203157 [doi] [abs]
 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. 196216, ISSN 10618600 [doi] [abs]
 Park, JH; Dunson, DB, Bayesian generalized product partition model,
Statistica Sinica, vol. 20 no. 3
(2009),
pp. 12031226, ISSN 10170405 [repository] [abs]
 Cai, B; Dunson, DB; Stanford, JB, Dynamic model for multivariate markers of fecundability,
Biometrics, vol. 66 no. 3
(2010),
pp. 905913, ISSN 0006341X [doi] [abs]
 Wang, L; Dunson, DB, Semiparametric Bayes multiple testing: Applications to tumor data,
Biometrics, vol. 66 no. 2
(2009),
pp. 493501, ISSN 0006341X [doi] [abs]
 MacLehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage,
Biometrics, vol. 66 no. 2
(2009),
pp. 455462, ISSN 0006341X [doi] [abs]
 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. 458472, ISSN 01621459 [repository], [doi] [abs]
 Dunson, DB, Multivariate kernel partition process mixtures,
Statistica Sinica, vol. 20 no. 4
(2009),
pp. 13951422, ISSN 10170405 [abs]
 Chung, Y; Dunson, DB, Nonparametric Bayes Conditional Distribution Modeling With Variable Selection.,
Journal of the American Statistical Association, vol. 104 no. 488
(2009),
pp. 16461660, ISSN 01621459 [repository], [doi] [abs]
 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. 486494 [abs]
 MacLehose, RF; Dunson, DB, Nonparametric Bayes kernelbased priors for functional data analysis,
Statistica Sinica, vol. 19 no. 2
(2009),
pp. 611629, ISSN 10170405 [abs]
Papers Submitted
 Reich, BJ; Fuentes, M; Dunson, DB, Bayesian Spatial Quantile Regression.,
Journal of the American Statistical Association, vol. 106 no. 493
(March, 2011),
pp. 620, ISSN 01621459 [repository], [doi] [abs]
 Shi, M; Dunson, DB, Bayesian Variable Selection via Particle Stochastic Search.,
Statistics & Probability Letters, vol. 81 no. 2
(February, 2011),
pp. 283291, ISSN 01677152 [21278860], [doi] [abs]
 Crandell, JL; Dunson, DB, Posterior simulation across nonparametric models for functional clustering,
Sankhya: The Indian Journal of Statistics, vol. 73 no. 1 B
(2011),
pp. 4261, ISSN 09727671 [doi] [abs]
 Liu, F; Dunson, D; Zou, F, HighDimensional Variable Selection in MetaAnalysis for Censored Data,
Biometrics, vol. 67 no. 2
(2011),
pp. 504512, ISSN 0006341X [doi] [abs]
 Bhattacharya, A; Dunson, DB, Nonparametric Bayesian density estimation on manifolds with applications to planar shapes.,
Biometrika, vol. 97 no. 4
(December, 2010),
pp. 851865, ISSN 00063444 [22822255], [doi] [abs]
 Rodríguez, A; Dunson, DB; Gelfand, AE, Latent StickBreaking Processes.,
Journal of the American Statistical Association, vol. 105 no. 490
(April, 2010),
pp. 647659, ISSN 01621459 [23559690], [doi] [abs]
 Bornkamp, B; Ickstadt, K; Dunson, D, Stochastically ordered multiple regression,
Biostatistics (Oxford, England), vol. 11 no. 3
(2010),
pp. 419431, ISSN 14654644 [doi] [abs]
 Yang, M; Dunson, DB, Bayesian semiparametric structural equation models with latent variables,
Psychometrika, vol. 75 no. 4
(2010),
pp. 675693, ISSN 00333123 [doi] [abs]
 Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets,
Statistics & Probability Letters
(2009)
 R. Mitra and D.B. Dunson, Two level stochastic search variable selection in GLMs with missing predictors
(2008)
 B. Cai and D.B. Dunson, Variable selection in nonparametric random effects models,
submitted
(2007)
 L.Wang and D.B. Dunson, Bayesian isotonic density regression
(2007)
Chapters
 Dunson, DB; Bhattacharya, A; Griffin, JE, Nonparametric Bayes Regression and Classification Through Mixtures of Product Kernels,
in Bayesian Statistics 9
(January, 2012), ISBN 9780191731921 [doi] [abs]


dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
 
Mathematics Department
Duke University, Box 90320
Durham, NC 277080320

