Publications of David B. Dunson
Books
- Gelman, A; Carlin, JB; Stern, HS; Dunson, DB; Vehtari, A; Rubin, DB, Bayesian data analysis, third edition
(January, 2013),
pp. 1-646, ISBN 9781439840955
Papers Published
- Huang, J; Morsomme, R; Dunson, D; Xu, J, Detecting changes in the transmission rate of a stochastic epidemic model.,
Statistics in medicine
(February, 2024)
- Melikechi, O; Dunson, DB, Ellipsoid fitting with the Cayley transform.,
IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol. 72
(January, 2024),
pp. 70-83
- Datta, J; Banerjee, S; Dunson, DB, Nonparametric Bayes multiresolution testing for high-dimensional rare events,
Journal of Nonparametric Statistics
(January, 2024)
- Buch, DA; Johndrow, JE; Dunson, DB, Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model.,
Biometrics, vol. 79 no. 4
(December, 2023),
pp. 2987-2997
- Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernel-based optimization scheme for analyzing non-stationary 1D signals,
Applied and Computational Harmonic Analysis, vol. 66
(September, 2023),
pp. 1-17
- Rigon, T; Herring, AH; Dunson, DB, A generalized Bayes framework for probabilistic clustering,
Biometrika, vol. 110 no. 3
(September, 2023),
pp. 559-578
- Liu, R; Li, M; Dunson, DB, PPA: Principal parcellation analysis for brain connectomes and multiple traits.,
NeuroImage, vol. 276
(August, 2023),
pp. 120214
- Talbot, A; Dunson, D; Dzirasa, K; Carlson, D, Estimating a brain network predictive of stress and genotype with supervised autoencoders.,
J R Stat Soc Ser C Appl Stat, vol. 72 no. 4
(August, 2023),
pp. 912-936
- Jin, B; Dunson, DB; Rager, JE; Reif, DM; Engel, SM; Herring, AH, Bayesian matrix completion for hypothesis testing.,
Journal of the Royal Statistical Society. Series C, Applied statistics, vol. 72 no. 2
(May, 2023),
pp. 254-270
- Mahzarnia, A; Stout, JA; Anderson, RJ; Moon, HS; Yar Han, Z; Beck, K; Browndyke, JN; Dunson, DB; Johnson, KG; O'Brien, RJ; Badea, A, Identifying vulnerable brain networks associated with Alzheimer's disease risk.,
Cereb Cortex, vol. 33 no. 9
(April, 2023),
pp. 5307-5322
- Gu, Y; Dunson, DB, Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data,
Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 85 no. 2
(April, 2023),
pp. 399-426
- Zito, A; Rigon, T; Dunson, DB, Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa,
Methods in Ecology and Evolution, vol. 14 no. 2
(February, 2023),
pp. 529-542
- Zito, A; Rigon, T; Ovaskainen, O; Dunson, DB, Bayesian Modeling of Sequential Discoveries.,
Journal of the American Statistical Association, vol. 118 no. 544
(January, 2023),
pp. 2521-2532
- Papadogeorgou, G; Bello, C; Ovaskainen, O; Dunson, DB, Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions,
Journal of the American Statistical Association, vol. 118 no. 544
(January, 2023),
pp. 2250-2261
- Barrientos, AF; Sen, D; Page, GL; Dunson, DB, Bayesian Inferences on Uncertain Ranks and Orderings: Application to Ranking Players and Lineups,
Bayesian Analysis, vol. 18 no. 3
(January, 2023),
pp. 777-806
- Sachs, M; Sen, D; Lu, J; Dunson, D, Posterior Computation with the Gibbs Zig-Zag Sampler,
Bayesian Analysis, vol. 18 no. 3
(January, 2023),
pp. 909-927
- Li, D; Nguyen, P; Zhang, Z; Dunson, D, Tree representations of brain structural connectivity via persistent homology.,
Frontiers in neuroscience, vol. 17
(January, 2023),
pp. 1200373
- Chakraborty, A; Ou, R; Dunson, DB, Bayesian Inference on High-Dimensional Multivariate Binary Responses,
Journal of the American Statistical Association
(January, 2023)
- Young, AL; van den Boom, W; Schroeder, RA; Krishnamoorthy, V; Raghunathan, K; Wu, H-T; Dunson, DB, Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data.,
PLoS One, vol. 18 no. 4
(2023),
pp. e0284904
- Legramanti, S; Rigon, T; Durante, D; Dunson, DB, EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKS.,
The annals of applied statistics, vol. 16 no. 4
(December, 2022),
pp. 2369-2395
- Chakraborty, A; Ovaskainen, O; Dunson, DB, BAYESIAN SEMIPARAMETRIC LONG MEMORY MODELS FOR DISCRETIZED EVENT DATA.,
The annals of applied statistics, vol. 16 no. 3
(September, 2022),
pp. 1380-1399
- Melikechi, O; Young, AL; Tang, T; Bowman, T; Dunson, D; Johndrow, J, Limits of epidemic prediction using SIR models.,
Journal of mathematical biology, vol. 85 no. 4
(September, 2022),
pp. 36
- Schiavon, L; Canale, A; Dunson, DB, Generalized infinite factorization models.,
Biometrika, vol. 109 no. 3
(September, 2022),
pp. 817-835
- Dey, P; Zhang, Z; Dunson, DB, Outlier detection for multi-network data.,
Bioinformatics (Oxford, England), vol. 38 no. 16
(August, 2022),
pp. 4011-4018
- Guha, S; Jung, R; Dunson, D, Predicting phenotypes from brain connection structure,
Journal of the Royal Statistical Society. Series C: Applied Statistics, vol. 71 no. 3
(June, 2022),
pp. 639-668
- Aliverti, E; Dunson, DB, COMPOSITE MIXTURE OF LOG-LINEAR MODELS WITH APPLICATION TO PSYCHIATRIC STUDIES.,
The annals of applied statistics, vol. 16 no. 2
(June, 2022),
pp. 765-790
- Dunson, DB; Wu, HT; Wu, N, Graph based Gaussian processes on restricted domains,
Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 84 no. 2
(April, 2022),
pp. 414-439
- Lum, K; Dunson, DB; Johndrow, J, Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment,
Journal of the Royal Statistical Society. Series A: Statistics in Society, vol. 185 no. 2
(April, 2022),
pp. 588-614
- Van Den Boom, W; Reeves, G; Dunson, DB, Erratum: Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation (Biometrika (2021) 108 (269-282) DOI: 10.1093/biomet/asaa068),
Biometrika, vol. 109 no. 1
(March, 2022),
pp. 275
- Russo, M; Singer, BH; Dunson, DB, MULTIVARIATE MIXED MEMBERSHIP MODELING: INFERRING DOMAIN-SPECIFIC RISK PROFILES.,
The annals of applied statistics, vol. 16 no. 1
(March, 2022),
pp. 391-413
- Joubert, BR; Kioumourtzoglou, M-A; Chamberlain, T; Chen, HY; Gennings, C; Turyk, ME; Miranda, ML; Webster, TF; Ensor, KB; Dunson, DB; Coull, BA, Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods.,
International journal of environmental research and public health, vol. 19 no. 3
(January, 2022),
pp. 1378
- Peruzzi, M; Dunson, DB, Spatial Multivariate Trees for Big Data Bayesian Regression.,
Journal of machine learning research : JMLR, vol. 23
(January, 2022),
pp. 17
- Zhang, R; Mak, S; Dunson, D, GAUSSIAN PROCESS SUBSPACE PREDICTION FOR MODEL REDUCTION,
SIAM Journal on Scientific Computing, vol. 44 no. 3
(January, 2022),
pp. A1428-A1449
- Badea, A; Li, D; Niculescu, AR; Anderson, RJ; Stout, JA; Williams, CL; Colton, CA; Maeda, N; Dunson, DB, Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer's Disease.,
Front Neurosci, vol. 16
(2022),
pp. 848654
- Badea, A; Li, D; Niculescu, AR; Anderson, RJ; Stout, JA; Williams, CL; Colton, CA; Maeda, N; Dunson, DB, Corrigendum: Absolute winding number differentiates mouse spatial navigation strategies with genetic risk for Alzheimer's disease.,
Front Neurosci, vol. 16
(2022),
pp. 1070425
- Liu, M; Zhang, Z; Dunson, DB, Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets.,
NeuroImage, vol. 245
(December, 2021),
pp. 118750
- Dunson, DB; Wu, HT; Wu, N, Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples,
Applied and Computational Harmonic Analysis, vol. 55
(November, 2021),
pp. 282-336
- Roy, A; Lavine, I; Herring, AH; Dunson, DB, PERTURBED FACTOR ANALYSIS: ACCOUNTING FOR GROUP DIFFERENCES IN EXPOSURE PROFILES.,
The annals of applied statistics, vol. 15 no. 3
(September, 2021),
pp. 1386-1404
- Moran, KR; Dunson, D; Wheeler, MW; Herring, AH, BAYESIAN JOINT MODELING OF CHEMICAL STRUCTURE AND DOSE RESPONSE CURVES.,
The annals of applied statistics, vol. 15 no. 3
(September, 2021),
pp. 1405-1430
- Aliverti, E; Lum, K; Johndrow, JE; Dunson, DB, Removing the influence of group variables in high-dimensional predictive modelling.,
Journal of the Royal Statistical Society. Series A, (Statistics in Society), vol. 184 no. 3
(July, 2021),
pp. 791-811
- Moran, KR; Turner, EL; Dunson, D; Herring, AH, Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data.,
J R Stat Soc Ser C Appl Stat, vol. 70 no. 3
(June, 2021),
pp. 532-557
- VAN DEN Boom, W; Reeves, G; Dunson, DB, Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation.,
Biometrika, vol. 108 no. 2
(June, 2021),
pp. 269-282
- Paganin, S; Herring, AH; Olshan, AF; Dunson, DB; National Birth Defects Prevention Study, , Centered Partition Processes: Informative Priors for Clustering (with Discussion).,
Bayesian analysis, vol. 16 no. 1
(March, 2021),
pp. 301-370
- Lee, K; Lin, L; Dunson, D, Maximum pairwise bayes factors for covariance structure testing,
Electronic Journal of Statistics, vol. 15 no. 2
(January, 2021),
pp. 4384-4419
- Ferrari, F; Dunson, DB, Bayesian Factor Analysis for Inference on Interactions.,
Journal of the American Statistical Association, vol. 116 no. 535
(January, 2021),
pp. 1521-1532
- Jauch, M; Hoff, PD; Dunson, DB, Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion,
Journal of Computational and Graphical Statistics, vol. 30 no. 3
(January, 2021),
pp. 622-631
- Roy, A; Borg, JS; Dunson, DB, Bayesian time-aligned factor analysis of paired multivariate time series.,
Journal of machine learning research : JMLR, vol. 22
(January, 2021),
pp. 250
- Papadogeorgou, G; Zhang, Z; Dunson, DB, Soft tensor regression,
Journal of Machine Learning Research, vol. 22
(January, 2021),
pp. 1-53
- Duan, LL; Dunson, DB, Bayesian Distance Clustering.,
Journal of machine learning research : JMLR, vol. 22
(January, 2021),
pp. 224
- Zhu, Y; Li, C; Dunson, DB, Classification Trees for Imbalanced Data: Surface-to-Volume Regularization,
Journal of the American Statistical Association
(January, 2021)
- Plummer, S; Zhou, S; Bhattacharya, A; Dunson, D; Pati, D, Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference,
Proceedings of Machine Learning Research, vol. 130
(January, 2021),
pp. 2449-2457
- Sen, D; Sachs, M; Lu, J; Dunson, DB, Efficient posterior sampling for high-dimensional imbalanced logistic regression.,
Biometrika, vol. 107 no. 4
(December, 2020),
pp. 1005-1012
- Mukhopadhyay, M; Li, D; Dunson, DB, Estimating densities with non-linear support by using Fisher-Gaussian kernels.,
Journal of the Royal Statistical Society. Series B, Statistical methodology, vol. 82 no. 5
(December, 2020),
pp. 1249-1271
- Ferrari, F; Dunson, DB, IDENTIFYING MAIN EFFECTS AND INTERACTIONS AMONG EXPOSURES USING GAUSSIAN PROCESSES.,
The annals of applied statistics, vol. 14 no. 4
(December, 2020),
pp. 1743-1758
- Li, D; Dunson, D, Classification via local manifold approximation, vol. 107 no. 4
(December, 2020),
pp. 1013-1020
- Roy, A; Dunson, DB, Nonparametric graphical model for counts.,
Journal of machine learning research : JMLR, vol. 21
(December, 2020),
pp. 229
- Legramanti, S; Durante, D; Dunson, DB, Bayesian cumulative shrinkage for infinite factorizations.,
Biometrika, vol. 107 no. 3
(September, 2020),
pp. 745-752
- Dunson, D; Papamarkou, T, Discussions,
International Statistical Review, vol. 88 no. 2
(August, 2020),
pp. 321-324
- Binette, O; Pati, D; Dunson, DB, Bayesian closed surface fitting through tensor products,
Journal of Machine Learning Research, vol. 21
(July, 2020),
pp. 1-26
- Aliverti, E; Tilson, JL; Filer, DL; Babcock, B; Colaneri, A; Ocasio, J; Gershon, TR; Wilhelmsen, KC; Dunson, DB, Projected t-SNE for batch correction.,
Bioinformatics (Oxford, England), vol. 36 no. 11
(June, 2020),
pp. 3522-3527
- Nishimura, A; Dunson, DB; Lu, J, Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods,
Biometrika, vol. 107 no. 2
(June, 2020),
pp. 365-380
- Dunson, DB; Johndrow, JE, The Hastings algorithm at fifty,
Biometrika, vol. 107 no. 1
(March, 2020),
pp. 1-23
- Duan, LL; Young, AL; Nishimura, A; Dunson, DB, Bayesian constraint relaxation.,
Biometrika, vol. 107 no. 1
(March, 2020),
pp. 191-204
- Tikhonov, G; Duan, L; Abrego, N; Newell, G; White, M; Dunson, D; Ovaskainen, O, Computationally efficient joint species distribution modeling of big spatial data.,
Ecology, vol. 101 no. 2
(February, 2020),
pp. e02929
- Li, M; Dunson, DB, Comparing and weighting imperfect models using D-probabilities.,
Journal of the American Statistical Association, vol. 115 no. 531
(January, 2020),
pp. 1349-1360
- Mukhopadhyay, M; Dunson, DB, Targeted Random Projection for Prediction From High-Dimensional Features,
Journal of the American Statistical Association, vol. 115 no. 532
(January, 2020),
pp. 1998-2010
- Jauch, M; Hoff, PD; Dunson, DB, Random orthogonal matrices and the Cayley transform,
Bernoulli, vol. 26 no. 2
(January, 2020),
pp. 1560-1586
- Nishimura, A; Dunson, D, Recycling Intermediate Steps to Improve Hamiltonian Monte Carlo,
Bayesian Analysis, vol. 15 no. 4
(January, 2020),
pp. 1087-1108
- Tam, E; Dunson, D, Fiedler regularization: Learning neural networks with graph sparsity,
37th International Conference on Machine Learning, ICML 2020, vol. PartF168147-12
(January, 2020),
pp. 9288-9297, ISBN 9781713821120
- Talbot, A; Dunson, D; Dzirasa, K; Carlson, D, Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity,
arXiv preprint arXiv:2004.05209, vol. abs/2004.05209
(2020)
- Thai, DH; Wu, HT; Dunson, DB, Locally convex kernel mixtures: Bayesian subspace learning,
Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019
(December, 2019),
pp. 272-275, ISBN 9781728145495
- Camerlenghi, F; Dunson, DB; Lijoi, A; Prünster, I; Rodríguez, A, Latent Nested Nonparametric Priors (with Discussion).,
Bayesian analysis, vol. 14 no. 4
(December, 2019),
pp. 1303-1356, Institute of Mathematical Statistics
- Panea, RI; Love, CL; Shingleton, JR; Reddy, A; Bailey, JA; Moormann, AM; Otieno, JA; Ong'echa, JM; Oduor, CI; Schroeder, KMS; Masalu, N; Chao, NJ; Agajanian, M; Major, MB; Fedoriw, Y; Richards, KL; Rymkiewicz, G; Miles, RR; Alobeid, B; Bhagat, G; Flowers, CR; Ondrejka, SL; Hsi, ED; Choi, WWL; Au-Yeung, RKH; Hartmann, W; Lenz, G; Meyerson, H; Lin, Y-Y; Zhuang, Y; Luftig, MA; Waldrop, A; Dave, T; Thakkar, D; Sahay, H; Li, G; Palus, BC; Seshadri, V; Kim, SY; Gascoyne, RD; Levy, S; Mukhopadyay, M; Dunson, DB; Dave, SS, The whole-genome landscape of Burkitt lymphoma subtypes.,
Blood, vol. 134 no. 19
(November, 2019),
pp. 1598-1607
- Chae, M; Lin, L; Dunson, DB, Bayesian sparse linear regression with unknown symmetric error,
Information and Inference, vol. 8 no. 3
(September, 2019),
pp. 621-653
- Zhang, Z; Allen, GI; Zhu, H; Dunson, D, Tensor network factorizations: Relationships between brain structural connectomes and traits.,
NeuroImage, vol. 197
(August, 2019),
pp. 330-343
- Norberg, A; Abrego, N; Blanchet, FG; Adler, FR; Anderson, BJ; Anttila, J; Araújo, MB; Dallas, T; Dunson, D; Elith, J; Foster, SD; Fox, R; Franklin, J; Godsoe, W; Guisan, A; O'Hara, B; Hill, NA; Holt, RD; Hui, FKC; Husby, M; Kålås, JA; Lehikoinen, A; Luoto, M; Mod, HK; Newell, G; Renner, I; Roslin, T; Soininen, J; Thuiller, W; Vanhatalo, J; Warton, D; White, M; Zimmermann, NE; Gravel, D; Ovaskainen, O, A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels,
Ecological Monographs, vol. 89 no. 3
(August, 2019)
- Li, C; Lin, L; Dunson, DB, On posterior consistency of tail index for Bayesian kernel mixture models,
Bernoulli, vol. 25 no. 3
(August, 2019),
pp. 1999-2028, Bernoulli Society for Mathematical Statistics and Probability
- Johndrow, JE; Smith, A; Pillai, N; Dunson, DB, MCMC for Imbalanced Categorical Data,
Journal of the American Statistical Association, vol. 114 no. 527
(July, 2019),
pp. 1394-1403
- Niu, M; Cheung, P; Lin, L; Dai, Z; Lawrence, N; Dunson, D, Intrinsic Gaussian processes on complex constrained domains,
Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 81 no. 3
(July, 2019),
pp. 603-627
- Wang, L; Zhang, Z; Dunson, D, Symmetric Bilinear Regression for Signal Subgraph Estimation.,
IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol. 67 no. 7
(April, 2019),
pp. 1929-1940
- Zhang, Z; Descoteaux, M; Dunson, DB, Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions.,
Journal of the American Statistical Association, vol. 114 no. 528
(January, 2019),
pp. 1505-1517
- Wang, L; Zhengwu Zhang, ; Dunson, , COMMON AND INDIVIDUAL STRUCTURE OF MULTIPLE NETWORKS, vol. 13 no. 1
(January, 2019),
pp. 85-112
- Miller, JW; Dunson, DB, Robust Bayesian inference via coarsening.,
Journal of the American Statistical Association, vol. 114 no. 527
(January, 2019),
pp. 1113-1125, Informa UK Limited
- Lin, L; Mu, N; Cheung, P; Dunson, D, Extrinsic Gaussian processes for regression and classification on manifolds,
Bayesian Analysis, vol. 14 no. 3
(January, 2019),
pp. 887-906
- Dunson, D; Wood, S, Report of the Editors—2018,
Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 81 no. 1
(January, 2019),
pp. 3-4
- Badea, A; Wu, W; Shuff, J; Wang, M; Anderson, RJ; Qi, Y; Johnson, GA; Wilson, JG; Koudoro, S; Garyfallidis, E; Colton, CA; Dunson, DB, Identifying Vulnerable Brain Networks in Mouse Models of Genetic Risk Factors for Late Onset Alzheimer's Disease.,
Front Neuroinform, vol. 13
(2019),
pp. 72
- Canale, A; Durante, D; Dunson, DB, Convex mixture regression for quantitative risk assessment.,
Biometrics, vol. 74 no. 4
(December, 2018),
pp. 1331-1340
- 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
- Duan, LL; Johndrow, JE; Dunson, DB, Scaling up data augmentation MCMC via calibration,
Journal of Machine Learning Research, vol. 19
(October, 2018)
- 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
- van den Boom, W; Mao, C; Schroeder, RA; Dunson, DB, Extrema-weighted feature extraction for functional data.,
Bioinformatics, vol. 34 no. 14
(July, 2018),
pp. 2457-2464
- Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian Conditional Density Filtering,
Journal of Computational and Graphical Statistics, vol. 27 no. 3
(July, 2018),
pp. 657-672, Informa UK Limited
- Shterev, ID; Dunson, DB; Chan, C; Sempowski, GD, Bayesian Multi-Plate High-Throughput Screening of Compounds.,
Sci Rep, vol. 8 no. 1
(June, 2018),
pp. 9551
- Johndrow, JE; Lum, K; Dunson, DB, Theoretical limits of microclustering for record linkage.,
Biometrika, vol. 105 no. 2
(June, 2018),
pp. 431-446
- Dunson, DB, Statistics in the big data era: Failures of the machine,
Statistics and Probability Letters, vol. 136
(May, 2018),
pp. 4-9, Elsevier BV
- 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
- 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
- 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
- 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
(January, 2018),
pp. 1528-1540
- 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
- Durante, D; Dunson, DB, Supplementary Material For “Bayesian Inference And Testing Of Group Differences In Brain Networks”,
Bayesian Analysis, vol. 13 no. 1
(January, 2018),
pp. 1-2
- 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
- Wheeler, MW; Dunson, DB; Herring, AH, Bayesian local extremum splines,
Biometrika, vol. 104 no. 4
(December, 2017),
pp. 939-952, Oxford University Press (OUP)
- 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)
- 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
- 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
- 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
- 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)
- 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
- Srivastava, S; Engelhardt, BE; Dunson, DB, Expandable factor analysis.,
Biometrika, vol. 104 no. 3
(September, 2017),
pp. 649-663
- Guhaniyogi, R; Qamar, S; Dunson, DB, Bayesian tensor regression,
Journal of Machine Learning Research, vol. 18
(August, 2017),
pp. 1-31
- Rao, V; Adams, RP; Dunson, DD, Bayesian inference for Matérn repulsive processes,
Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 79 no. 3
(June, 2017),
pp. 877-897
- 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 Behav, vol. 7 no. 6
(June, 2017),
pp. e00710
- 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
- Wang, L; Durante, D; Jung, RE; Dunson, DB, Bayesian network-response regression.,
Bioinformatics (Oxford, England), vol. 33 no. 12
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pp. 1859-1866
- 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
- 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. Biological sciences, vol. 284 no. 1855
(May, 2017),
pp. 20170768
- Moffitt, AB; Ondrejka, SL; McKinney, M; Rempel, RE; Goodlad, JR; Teh, CH; Leppa, S; Mannisto, S; Kovanen, PE; Tse, E; Au-Yeung, RKH; Kwong, Y-L; Srivastava, G; Iqbal, J; Yu, J; Naresh, K; Villa, D; Gascoyne, RD; Said, J; Czader, MB; Chadburn, A; Richards, KL; Rajagopalan, D; Davis, NS; Smith, EC; Palus, BC; Tzeng, TJ; Healy, JA; Lugar, PL; Datta, J; Love, C; Levy, S; Dunson, DB; Zhuang, Y; Hsi, ED; Dave, SS, Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2.,
J Exp Med, vol. 214 no. 5
(May, 2017),
pp. 1371-1386
- 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
- McKinney, M; Moffitt, AB; Gaulard, P; Travert, M; De Leval, L; Nicolae, A; Raffeld, M; Jaffe, ES; Pittaluga, S; Xi, L; Heavican, T; Iqbal, J; Belhadj, K; Delfau-Larue, MH; Fataccioli, V; Czader, MB; Lossos, IS; Chapman-Fredricks, JR; Richards, KL; Fedoriw, Y; Ondrejka, SL; Hsi, ED; Low, L; Weisenburger, D; Chan, WC; Mehta-Shah, N; Horwitz, S; Bernal-Mizrachi, L; Flowers, CR; Beaven, AW; Parihar, M; Baseggio, L; Parrens, M; Moreau, A; Sujobert, P; Pilichowska, M; Evens, AM; Chadburn, A; Au-Yeung, RKH; Srivastava, G; Choi, WWL; Goodlad, JR; Aurer, I; Basic-Kinda, S; Gascoyne, RD; Davis, NS; Li, G; Zhang, J; Rajagopalan, D; Reddy, A; Love, C; Levy, S; Zhuang, Y; Datta, J; Dunson, DB; Davé, SS, The Genetic Basis of Hepatosplenic T-cell Lymphoma.,
Cancer Discov, vol. 7 no. 4
(April, 2017),
pp. 369-379
- 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
- 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
- Dunson, DB, Toward automated prior choice,
Statistical Science, vol. 32 no. 1
(February, 2017),
pp. 41-43, Institute of Mathematical Statistics
- 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
- Johndrow, JE; Bhattacharya, A; Dunson, DB, TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS.,
Annals of statistics, vol. 45 no. 1
(January, 2017),
pp. 1-38
- 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
- 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
- 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
- Durante, D; Dunson, DB, Locally adaptive dynamic networks,
Annals of Applied Statistics, vol. 10 no. 4
(December, 2016),
pp. 2203-2232, Institute of Mathematical Statistics
- Datta, J; Dunson, DB, Bayesian inference on quasi-sparse count data.,
Biometrika, vol. 103 no. 4
(December, 2016),
pp. 971-983
- 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
- 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
- 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)
- 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
- 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
- Canale, A; Dunson, DB, Multiscale bernstein polynomials for densities,
Statistica Sinica, vol. 26 no. 3
(July, 2016),
pp. 1175-1195, Institute of Statistical Science
- 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
- Rao, V; Lin, L; Dunson, DB, Data augmentation for models based on rejection sampling.,
Biometrika, vol. 103 no. 2
(June, 2016),
pp. 319-335
- 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
- Guhaniyogi, R; Dunson, DB, Compressed Gaussian process for manifold regression,
Journal of Machine Learning Research, vol. 17
(May, 2016)
- Kabisa, S; Dunson, DB; Morris, JS, Online Variational Bayes Inference for High-Dimensional Correlated Data,
Journal of Computational and Graphical Statistics, vol. 25 no. 2
(April, 2016),
pp. 426-444, Informa UK Limited
- Yang, Y; Dunson, DB, Bayesian manifold regression,
Annals of Statistics, vol. 44 no. 2
(April, 2016),
pp. 876-905, Institute of Mathematical Statistics
- 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
- 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
- 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
- Yang, Y; Dunson, DB, Bayesian Conditional Tensor Factorizations for High-Dimensional Classification.,
Journal of the American Statistical Association, vol. 111 no. 514
(January, 2016),
pp. 656-669, Informa UK Limited
- 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
- Wang, Y; Canale, A; Dunson, D, Scalable geometric density estimation,
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016
(January, 2016),
pp. 857-865
- Han, S; Liao, X; Dunson, DB; Carin, L, Variational Gaussian copula inference,
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016
(January, 2016),
pp. 829-838
- 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.,
Front Behav Neurosci, vol. 10
(2016),
pp. 197
- Fox, EB; Dunson, DB; Airoldi, EM, Bayesian nonparametric covariance regression,
Journal of Machine Learning Research, vol. 16
(December, 2015),
pp. 2501-2542
- 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
- Lock, EF; Dunson, DB, Shared kernel Bayesian screening.,
Biometrika, vol. 102 no. 4
(December, 2015),
pp. 829-842
- 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
- 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
- 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
- Johndrow, JE; Mattingly, JC; Mukherjee, S; Dunson, D, Optimal approximating Markov chains for Bayesian inference
(August, 2015)
- 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
- 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
- Strawn, N; Armagan, A; Saab, R; Carin, L; Dunson, D, Erratum: Finite sample posterior concentration in high-dimensional regression (Information and Inference (2015) 3 (103-133) DOI: 10.1093/imaiai/iau003),
Information and Inference, vol. 4 no. 1
(March, 2015),
pp. 77
- 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 no. 1
(January, 2015),
pp. 11
- 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
- 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
- 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
- Zhou, J; Bhattacharya, A; Herring, A; Dunson, D, Bayesian factorizations of big sparse tensors.,
Journal of the American Statistical Association, vol. 110 no. 512
(January, 2015),
pp. 1562-1576, Informa UK Limited
- 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
- 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
- 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
- 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
- Kunihama, T; Dunson, DB, Nonparametric Bayes inference on conditional independence,
Biometrika, vol. 103 no. 1
(January, 2015),
pp. 35-47, Oxford University Press (OUP)
- Chabout, J; Sarkar, A; Dunson, DB; Jarvis, ED, Male mice song syntax depends on social contexts and influences female preferences.,
Front Behav Neurosci, vol. 9
(2015),
pp. 76, FRONTIERS MEDIA SA
- 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)
- 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
- 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
- Rodriguez, A; Dunson, DB, Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies,
Annals of Applied Statistics, vol. 8 no. 3
(September, 2014),
pp. 1416-1442, Institute of Mathematical Statistics, ISSN 1932-6157
- Dunson, DB, Comment,
Journal of the American Statistical Association, vol. 109 no. 507
(July, 2014),
pp. 890-891, Informa UK Limited, ISSN 0162-1459
- 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
- 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
- Strawn, N; Armagan, A; Saab, R; Carin, L; Dunson, D, Finite sample posterior concentration in high-dimensional regression,
Information and Inference, vol. 3 no. 2
(June, 2014),
pp. 103-133
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Pati, D; Bhattacharya, A; Pillai, NS; Dunson, D, Posterior contraction in sparse bayesian factor models for massive covariance matrices,
Annals of Statistics, vol. 42 no. 3
(January, 2014),
pp. 1102-1130, Institute of Mathematical Statistics, ISSN 0090-5364
- Durante, D; Dunson, DB, Bayesian dynamic financial networks with time-varying predictors,
Statistics and Probability Letters, vol. 93
(January, 2014),
pp. 19-26, Elsevier BV, ISSN 0167-7152
- 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
- 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
- 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
- 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
- Chen, CWS; Dunson, D; Frühwirth-Schnatter, S; Walker, SG, Special issue on Bayesian computing, methods and applications,
Computational Statistics and Data Analysis, vol. 71
(January, 2014),
pp. 273, Elsevier BV, ISSN 0167-9473
- Bhattacharya, A; Pati, D; Dunson, D, Anisotropic function estimation using multi-bandwidth Gaussian processes,
Annals of Statistics, vol. 42 no. 1
(January, 2014),
pp. 352-381, Institute of Mathematical Statistics
- Durante, D; Dunson, DB, Bayesian logistic Gaussian process models for dynamic networks,
Journal of Machine Learning Research, vol. 33
(January, 2014),
pp. 194-201
- 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
- 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)
- 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
- 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
- Hannah, LA; Dunson, DB, Multivariate convex regression with adaptive partitioning,
Journal of Machine Learning Research, vol. 14
(November, 2013),
pp. 3153-3188, MICROTOME PUBL, ISSN 1532-4435
- 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
- Hannah, LA; Dunson, DB, Multivariate Convex Regression with Adaptive Partitioning,
JOURNAL OF MACHINE LEARNING RESEARCH, vol. 14
(November, 2013),
pp. 3261-3294, MICROTOME PUBL
- Lock, EF; Dunson, DB, Bayesian consensus clustering.,
Bioinformatics (Oxford, England), vol. 29 no. 20
(October, 2013),
pp. 2610-2616
- Salazar, E; Dunson, DB; Carin, L, Analysis of space-time relational data with application to legislative voting,
Computational Statistics and Data Analysis, vol. 68
(July, 2013),
pp. 141-154, Elsevier BV, ISSN 0167-9473
- Zhu, B; Ashley-Koch, AE; Dunson, DB, Generalized admixture mapping for complex traits.,
G3 (Bethesda), vol. 3 no. 7
(July, 2013),
pp. 1165-1175
- Murray, JS; Dunson, DB; Carin, L; Lucas, JE, Bayesian Gaussian Copula Factor Models for Mixed Data.,
Journal of the American Statistical Association, vol. 108 no. 502
(June, 2013),
pp. 656-665
- Page, G; Bhattacharya, A; Dunson, D, Classification via bayesian nonparametric learning of affine subspaces,
Journal of the American Statistical Association, vol. 108 no. 501
(May, 2013),
pp. 187-201, Informa UK Limited, ISSN 0162-1459
- Pati, D; Dunson, DB; Tokdar, ST, Posterior consistency in conditional distribution estimation.,
Journal of multivariate analysis, vol. 116
(April, 2013),
pp. 456-472, ISSN 0047-259X
- 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
- Zhang, J; Grubor, V; Love, CL; Banerjee, A; Richards, KL; Mieczkowski, PA; Dunphy, C; Choi, W; Au, WY; Srivastava, G; Lugar, PL; Rizzieri, DA; Lagoo, AS; Bernal-Mizrachi, L; Mann, KP; Flowers, C; Naresh, K; Evens, A; Gordon, LI; Czader, M; Gill, JI; Hsi, ED; Liu, Q; Fan, A; Walsh, K; Jima, D; Smith, LL; Johnson, AJ; Byrd, JC; Luftig, MA; Ni, T; Zhu, J; Chadburn, A; Levy, S; Dunson, D; Dave, SS, Genetic heterogeneity of diffuse large B-cell lymphoma.,
Proc Natl Acad Sci U S A, vol. 110 no. 4
(January, 2013),
pp. 1398-1403
- Petralia, F; Vogelstein, J; Dunson, DB, Multiscale dictionary learning for estimating conditional distributions,
Advances in Neural Information Processing Systems
(January, 2013), ISSN 1049-5258
- Durante, D; Scarpa, B; Dunson, DB, Locally adaptive bayesian multivariate time series,
Advances in Neural Information Processing Systems
(January, 2013), ISSN 1049-5258
- 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
- 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
- Armagan, A; Dunson, DB; Lee, J, GENERALIZED DOUBLE PARETO SHRINKAGE.,
Statistica Sinica, vol. 23 no. 1
(January, 2013),
pp. 119-143, ISSN 1017-0405
- 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)
- Yu, K; Chen, CWS; Reed, C; Dunson, DB, Bayesian variable selection in quantile regression,
Statistics and its Interface, vol. 6 no. 2
(January, 2013),
pp. 261-274, International Press of Boston, ISSN 1938-7989
- Johndrow, JE; Lum, K; Dunson, DB, Diagonal orthant multinomial probit models,
Journal of Machine Learning Research, vol. 31
(January, 2013),
pp. 29-38
- 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
- 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 Biomedical Engineering, vol. 61 no. 1
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pp. 41-54, IEEE, ISSN 0018-9294
- 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
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pp. 1358-1382, Informa UK Limited, ISSN 0266-4763
- Banerjee, A; Dunson, DB; Tokdar, ST, Efficient Gaussian process regression for large datasets,
Biometrika, vol. 100 no. 1
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pp. 75-89
- Zhu, B; Dunson, DB; Ashley-Koch, AE, Adverse subpopulation regression for multivariate outcomes with high-dimensional predictors.,
Stat Med, vol. 31 no. 29
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pp. 4102-4113
- Petralia, F; Rao, V; Dunson, DB, Repulsive mixtures,
Advances in Neural Information Processing Systems, vol. 3
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pp. 1889-1897, ISSN 1049-5258
- Fox, EB; Dunson, DB, Multiresolution Gaussian processes,
Advances in Neural Information Processing Systems, vol. 1
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pp. 737-745, ISSN 1049-5258
- 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
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pp. 813-840, ISSN 1931-6690
- Love, C; Sun, Z; Jima, D; Li, G; Zhang, J; Miles, R; Richards, KL; Dunphy, CH; Choi, WWL; Srivastava, G; Lugar, PL; Rizzieri, DA; Lagoo, AS; Bernal-Mizrachi, L; Mann, KP; Flowers, CR; Naresh, KN; Evens, AM; Chadburn, A; Gordon, LI; Czader, MB; Gill, JI; Hsi, ED; Greenough, A; Moffitt, AB; McKinney, M; Banerjee, A; Grubor, V; Levy, S; Dunson, DB; Dave, SS, The genetic landscape of mutations in Burkitt lymphoma.,
Nat Genet, vol. 44 no. 12
(December, 2012),
pp. 1321-1325
- 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
- Hannah, LA; Dunson, DB, Ensemble methods for convex regression with applications to geometric programming based circuit design,
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol. 1
(October, 2012),
pp. 369-376
- Shterev, ID; Dunson, DB, Bayesian watermark attacks,
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, vol. 1
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pp. 695-702
- 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
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pp. 1343-1350
- Bhattacharya, A; Dunson, D, Nonparametric Bayes classification and hypothesis testing on manifolds,
Journal of Multivariate Analysis, vol. 111
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pp. 1-19, Elsevier BV, ISSN 0047-259X
- Hua, Z; Dunson, DB; Gilmore, JH; Styner, MA; Zhu, H, Semiparametric Bayesian local functional models for diffusion tensor tract statistics.,
NeuroImage, vol. 63 no. 1
(October, 2012),
pp. 460-474, ISSN 1053-8119
- 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
- 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
- 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
- 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
- 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 Process Mag, vol. 29 no. 1
(January, 2012),
pp. 108-123
- 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
- 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
- Gordon, GJ; Dunson, D, Preface to the proceedings of AISTATS 2011,
Journal of Machine Learning Research, vol. 15
(December, 2011),
pp. 1-2, ISSN 1532-4435
- Canale, A; Dunson, DB, Bayesian Kernel Mixtures for Counts.,
Journal of the American Statistical Association, vol. 106 no. 496
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pp. 1528-1539, ISSN 0162-1459
- 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)
- 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)
- 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
- 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
- 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
- Yang, H; O'Brien, S; Dunson, DB, Nonparametric Bayes Stochastically Ordered Latent Class Models.,
J Am Stat Assoc, vol. 106 no. 495
(September, 2011),
pp. 807-817, ISSN 0162-1459
- 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
- Wang, L; Dunson, DB, Bayesian isotonic density regression.,
Biometrika, vol. 98 no. 3
(September, 2011),
pp. 537-551, ISSN 0006-3444
- Zhou, M; Yang, H; Sapiro, G; Dunson, D; Carin, L, Covariate-dependent dictionary learning and sparse coding,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
(August, 2011),
pp. 5824-5827, IEEE, ISSN 1520-6149
- Armagan, A; Dunson, D, Sparse variational analysis of linear mixed models for large data sets,
Statistics and Probability Letters, vol. 81 no. 8
(August, 2011),
pp. 1056-1062, Elsevier BV, ISSN 0167-7152
- 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
- Bhattacharya, A; Dunson, DB, Sparse Bayesian infinite factor models.,
Biometrika, vol. 98 no. 2
(June, 2011),
pp. 291-306, ISSN 0006-3444
- Liu, F; Dunson, D; Zou, F, High-dimensional variable selection in meta-analysis for censored data.,
Biometrics, vol. 67 no. 2
(June, 2011),
pp. 504-512, ISSN 0006-341X
- Page, GL; Dunson, DB, Bayesian Local Contamination Models for Multivariate Outliers.,
Technometrics : a journal of statistics for the physical, chemical, and engineering sciences, vol. 53 no. 2
(May, 2011),
pp. 152-162, ISSN 0040-1706
- Crandell, JL; Dunson, DB, Posterior simulation across nonparametric models for functional clustering,
Sankhya B, vol. 73 no. 1
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pp. 42-61, Springer Nature, ISSN 0972-7671
- 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.,
J Neurosci, vol. 31 no. 17
(April, 2011),
pp. 6449-6456
- 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
- Pati, D; Reich, BJ; Dunson, DB, Bayesian geostatistical modelling with informative sampling locations.,
Biometrika, vol. 98 no. 1
(March, 2011),
pp. 35-48, ISSN 0006-3444
- 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
- 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
- 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
- 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
- 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
- Ren, L; Du, L; Carin, L; Dunson, DB, Logistic Stick-Breaking Process.,
Journal of machine learning research : JMLR, vol. 12 no. Jan
(January, 2011),
pp. 203-239, ISSN 1532-4435
- Chen, H; Dunson, DB; Carin, L, Topic Modeling with Nonparametric Markov Tree.,
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, vol. 2011
(January, 2011),
pp. 377-384
- Zhang, X; Dunson, DB; Carin, L, Tree-Structured Infinite Sparse Factor Model.,
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning, vol. 2011
(January, 2011),
pp. 785-792
- Chen, M; Zaas, A; Woods, C; Ginsburg, GS; Lucas, J; Dunson, D; Carin, L, Predicting Viral Infection From High-Dimensional Biomarker Trajectories.,
J Am Stat Assoc, vol. 106 no. 496
(January, 2011),
pp. 1259-1279, ISSN 0162-1459
- Armagan, A; Dunson, DB; Clyde, M, Generalized beta mixtures of Gaussians,
Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011
(January, 2011), ISBN 9781618395993
- 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
(January, 2011), ISBN 9781618395993
- 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
(January, 2011), ISBN 9781618395993
- 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
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pp. 523-531, Neural Information Processing Systems Foundation, Inc, ISBN 9781618395993
- 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
- Gordon, GJ; Dunson, D, Preface to the Proceedings of AISTATS 2011,
Journal of Machine Learning Research, vol. 9
(December, 2010),
pp. 1-2, ISSN 1532-4435
- 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)
- 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 : a publication of the IEEE Signal Processing Society, vol. 58 no. 12
(December, 2010),
pp. 6140-6155, ISSN 1053-587X
- 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
- 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
- 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
- Dunson, DB, MULTIVARIATE KERNEL PARTITION PROCESS MIXTURES.,
Statistica Sinica, vol. 20 no. 4
(October, 2010),
pp. 1395-1422, ISSN 1017-0405
- 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
- Cai, B; Dunson, DB; Stanford, JB, Dynamic model for multivariate markers of fecundability.,
Biometrics, vol. 66 no. 3
(September, 2010),
pp. 905-913, ISSN 0006-341X
- Stanford, JB; Mikolajczyk, RT; Dunson, DB, Are Chinese people really more fertile?,
Fertility and sterility, vol. 94 no. 3
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pp. e58, ISSN 0015-0282
- Bornkamp, B; Ickstadt, K; Dunson, D, Stochastically ordered multiple regression.,
Biostatistics (Oxford, England), vol. 11 no. 3
(July, 2010),
pp. 419-431, ISSN 1465-4644
- Park, JH; Dunson, DB, Bayesian generalized product partition model,
Statistica Sinica, vol. 20 no. 3
(July, 2010),
pp. 1203-1226, ISSN 1017-0405
- Maclehose, RF; Dunson, DB, Bayesian semiparametric multiple shrinkage.,
Biometrics, vol. 66 no. 2
(June, 2010),
pp. 455-462, ISSN 0006-341X
- 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
- 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
- Wang, C; Liao, X; Carin, L; Dunson, DB, Classification with Incomplete Data Using Dirichlet Process Priors.,
Journal of machine learning research : JMLR, vol. 11
(March, 2010),
pp. 3269-3311, ISSN 1532-4435
- Mitra, R; Dunson, D, Two-level stochastic search variable selection in GLMs with missing predictors.,
The international journal of biostatistics, vol. 6 no. 1
(January, 2010),
pp. Article-33, ISSN 1557-4679
- 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
(January, 2010), ISBN 9781617823800
- Dunson, DB, Comment on article by Craigmile et al.,
Bayesian Analysis, vol. 4 no. 1
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pp. 41-44, Institute of Mathematical Statistics, ISSN 1936-0975
- 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
- Ren, L; Dunson, DB; Lindroth, S; Carin, L, Music analysis with a Bayesian dynamic model,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
(September, 2009),
pp. 1681-1684, IEEE, ISSN 1520-6149
- Wang, C; An, Q; Carin, L; Dunson, DB, Multi-task classification with infinite local experts,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
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pp. 1569-1572, IEEE, ISSN 1520-6149
- Scarpa, B; Dunson, DB, Bayesian hierarchical functional data analysis via contaminated informative priors.,
Biometrics, vol. 65 no. 3
(September, 2009),
pp. 772-780, ISSN 0006-341X
- 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
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pp. 604-610, ISSN 1044-3983
- 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. 306-320, ISSN 1061-8600
- Dunson, DB, Bayesian nonparametric hierarchical modeling.,
Biometrical journal. Biometrische Zeitschrift, vol. 51 no. 2
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pp. 273-284
- MacLehose, RF; Dunson, DB, Nonparametric Bayes kernel-based priors for functional data analysis,
Statistica Sinica, vol. 19 no. 2
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pp. 611-629, ISSN 1017-0405
- 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
- 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
- Du, L; Ren, L; Dunson, DB; Carin, L, A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.,
Advances in neural information processing systems, vol. 2009
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pp. 486-494
- 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. 155-171, ISSN 1465-4644
- Bigelow, JL; Dunson, DB, Bayesian semiparametric joint models for functional predictors.,
Journal of the American Statistical Association, vol. 104 no. 485
(January, 2009),
pp. 26-36, Informa UK Limited, ISSN 0162-1459
- Dunson, DB, Nonparametric Bayes local partition models for random effects.,
Biometrika, vol. 96 no. 2
(January, 2009),
pp. 249-262, ISSN 0006-3444
- Armagan, A; Dunson, DB, Sparse variational analysis of large longitudinal data sets,
Statistics & Probability Letters
(2009)
- Wang, L; Dunson, DB, Semiparametric Bayes multiple testing: Applications to tumor data.,
Biometrics, vol. 66 no. 2
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pp. 493-501, ISSN 0006-341X
- Wang, L; Dunson, DB, Fast Bayesian inference in Dirichlet process mixture models,
Journal of Computational & Graphical Statistics, vol. 20 no. 1
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pp. 196-216, Informa UK Limited, ISSN 1061-8600
- 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
- 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
- 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
- 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).,
The Journal of allergy and clinical immunology, vol. 122 no. 1
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pp. 49-54.e3, ISSN 0091-6749
- 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
- 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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pp. 413-423, ISSN 0006-341X
- Dunson, DB; Park, JH, Kernel stick-breaking processes,
Biometrika, vol. 95 no. 2
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pp. 307-323, Oxford University Press (OUP), ISSN 0006-3444
- Dunson, DB, Comment,
Journal of the American Statistical Association, vol. 103 no. 481
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pp. 40-41, Informa UK Limited, ISSN 0162-1459
- 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
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pp. 317-327, Informa UK Limited, ISSN 0162-1459
- Rodríguez, A; Dunson, DB; Gelfand, AE, The nested dirichlet process,
Journal of the American Statistical Association, vol. 103 no. 483
(January, 2008),
pp. 1131-1154, Informa UK Limited, ISSN 0162-1459
- 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
(January, 2008),
pp. 768-775
- 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
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pp. 17-24
- 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. 824-831
- Dunson, DB; Herring, A; Siega-Riz, 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. 1508-1517, Informa UK Limited, ISSN 0162-1459
- Rodriguez, A; Dunson, DB; Gelfand, AE, Nonparametric functional data analysis through Bayesian density estimation,
Biometrika, vol. 96
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pp. 149-162
- Rodriguez, A; Dunson, DB; Gelfand, AE, The nested Dirichlet process (with discussion),
Journal of the American Statistical Association
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- Yang, M; Dunson, DB, Bayesian semiparametric structural equation models with latent variables,
Psychometrika, vol. 75 no. 4
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pp. 675-693, Springer Nature, ISSN 0033-3123
- Palomo, J; Dunson, DB; Bollen, K, Bayesian Structural Equation Modeling
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pp. 163-188, Elsevier
- Cai, B; Dunson, DB, Bayesian multivariate isotonic regression splines: Applications to carcinogenicity studies,
Journal of the American Statistical Association, vol. 102 no. 480
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pp. 1158-1171, Informa UK Limited, ISSN 0162-1459
- Dunson, DB, Bayesian methods for latent trait modelling of longitudinal data.,
Statistical methods in medical research, vol. 16 no. 5
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pp. 399-415, ISSN 0962-2802
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Fertility and sterility, vol. 88 no. 4
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pp. 915-924, ISSN 0015-0282
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Biostatistics (Oxford, England), vol. 8 no. 4
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pp. 821-834, ISSN 1465-4644
- Bigelow, JL; Dunson, DB, Bayesian adaptive regression splines for hierarchical data.,
Biometrics, vol. 63 no. 3
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pp. 724-732, ISSN 0006-341X
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ACM International Conference Proceeding Series, vol. 227
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pp. 1063-1070, ACM Press
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ACM International Conference Proceeding Series, vol. 227
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pp. 689-696, ACM Press
- 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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pp. 1088-1095, ISSN 0002-9262
- Scarpa, B; Dunson, DB, Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy.,
Statistics in medicine, vol. 26 no. 9
(April, 2007),
pp. 1920-1936, ISSN 0277-6715
- 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
- Dunson, DB, Empirical bayes density regression,
Statistica Sinica, vol. 17 no. 2
(April, 2007),
pp. 481-504, ISSN 1017-0405
- 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
- Baird, DD; Dunson, DB; Hill, MC; Cousins, D; Schectman, JM, Association of physical activity with development of uterine leiomyoma.,
American journal of epidemiology, vol. 165 no. 2
(January, 2007),
pp. 157-163, ISSN 0002-9262
- Kinney, S; Dunson, DB, Fixed and random effects selection in linear and logistic models,
Biometrics, vol. 63 no. 3
(2007),
pp. 690-698, ISSN 0006-341X
- Pennell, ML; Dunson, DB, Bayesian semiparametric dynamic frailty models for multiple event time data.,
Biometrics, vol. 62 no. 4
(December, 2006),
pp. 1044-1052, ISSN 0006-341X
- Stanford, JB; Dunson, DB, Foreword. Expanding Methodologies for Capturing Day-Specific Probabilities of Conception.,
Paediatric and perinatal epidemiology, vol. 20 Suppl 1
(November, 2006),
pp. 1-2, ISSN 0269-5022
- Scarpa, B; Dunson, DB, Bayesian selection of predictors of conception probabilities across the menstrual cycle.,
Paediatric and perinatal epidemiology, vol. 20 Suppl 1 no. SUPPL. 1
(November, 2006),
pp. 30-37, ISSN 0269-5022
- Dunson, DB, Bayesian dynamic modeling of latent trait distributions.,
Biostatistics (Oxford, England), vol. 7 no. 4
(October, 2006),
pp. 551-568, ISSN 1465-4644
- 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
- Cai, B; Dunson, DB, Bayesian covariance selection in generalized linear mixed models.,
Biometrics, vol. 62 no. 2
(June, 2006),
pp. 446-457, ISSN 0006-341X
- 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
- Scarpa, B; Dunson, DB; Colombo, B, Cervical mucus secretions on the day of intercourse: an accurate marker of highly fertile days.,
European journal of obstetrics, gynecology, and reproductive biology, vol. 125 no. 1
(March, 2006),
pp. 72-78
- 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
- Chen, Z; Dunson, DB, The authors replied as follows [2],
Biometrics, vol. 62 no. 2
(January, 2006),
pp. 623-624, WILEY, ISSN 0006-341X
- Dunson, DB, Bayesian Biostatistics,
Handbook of Statistics, vol. 25
(December, 2005),
pp. 743-761, Elsevier, ISSN 0169-7161
- Hans, C; Dunson, DB, Bayesian inferences on umbrella orderings.,
Biometrics, vol. 61 no. 4
(December, 2005),
pp. 1018-1026, ISSN 0006-341X
- Law, DCG; Klebanoff, MA; Brock, JW; Dunson, DB; Longnecker, MP, Maternal serum levels of polychlorinated biphenyls and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) and time to pregnancy.,
American journal of epidemiology, vol. 162 no. 6
(September, 2005),
pp. 523-532
- 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)
- Gueorguieva, RV, Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes.,
Biometrics, vol. 61 no. 3
(September, 2005),
pp. 862-866, ISSN 0006-341X
- Gunn, LH; Dunson, DB, A transformation approach for incorporating monotone or unimodal constraints.,
Biostatistics (Oxford, England), vol. 6 no. 3
(July, 2005),
pp. 434-449, ISSN 1465-4644
- Dunson, DB; Herring, AH, Bayesian model selection and averaging in additive and proportional hazards models.,
Lifetime data analysis, vol. 11 no. 2
(June, 2005),
pp. 213-232
- 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
- 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
- Dunson, DB; Bigelow, JL; Colombo, B, Reduced fertilization rates in older men when cervical mucus is suboptimal.,
Obstetrics and gynecology, vol. 105 no. 4
(April, 2005),
pp. 788-793, ISSN 0029-7844
- Dunson, DB; Stanford, JB, Bayesian inferences on predictors of conception probabilities.,
Biometrics, vol. 61 no. 1
(March, 2005),
pp. 126-133
- 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
- Dunson, DB; Herring, AH, Bayesian latent variable models for mixed discrete outcomes.,
Biostatistics (Oxford, England), vol. 6 no. 1
(January, 2005),
pp. 11-25
- Herring, AH; Dunson, DB; Dole, N, Modeling the effects of a bidirectional latent predictor from multivariate questionnaire data.,
Biometrics, vol. 60 no. 4
(December, 2004),
pp. 926-935, ISSN 0006-341X
- Dunson, DB; Holloman, C; Calder, C; Gunn, LH, Bayesian modeling of multiple lesion onset and growth from interval-censored data.,
Biometrics, vol. 60 no. 3
(September, 2004),
pp. 676-683, ISSN 0006-341X
- O'Brien, SM; Dunson, DB, Bayesian multivariate logistic regression.,
Biometrics, vol. 60 no. 3
(September, 2004),
pp. 739-746, ISSN 0006-341X
- 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
- 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 (Oxford, England), vol. 19 no. 7
(July, 2004),
pp. 1539-1543, ISSN 0268-1161
- Neelon, B; Dunson, DB, Bayesian isotonic regression and trend analysis.,
Biometrics, vol. 60 no. 2
(June, 2004),
pp. 398-406
- Chen, Z; Dunson, DB, Bayesian estimation of survival functions under stochastic precedence.,
Lifetime data analysis, vol. 10 no. 2
(June, 2004),
pp. 159-173
- Dunson, DB; Chen, Z, Selecting factors predictive of heterogeneity in multivariate event time data.,
Biometrics, vol. 60 no. 2
(June, 2004),
pp. 352-358
- 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 (Oxford, England), vol. 19 no. 4
(April, 2004),
pp. 889-892
- Tingen, C; Stanford, JB; Dunson, DB, Methodologic and statistical approaches to studying human fertility and environmental exposure.,
Environmental health perspectives, vol. 112 no. 1
(January, 2004),
pp. 87-93
- 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
- Trouba, K; Nyska, A; Styblo, M; Dunson, D; Lomnitski, L; Grossman, S; Moser, G; Suttie, A; Patterson, R; Walton, F; Germolec, D, Effect of antioxidants on the papilloma response and liver glutathione modulation mediated by arsenic in tg.ac transgenic mice,
Arsenic Exposure and Health Effects V
(December, 2003),
pp. 283-293, Elsevier
- Dunson, DB; Herring, AH, Bayesian inferences in the Cox model for order-restricted hypotheses.,
Biometrics, vol. 59 no. 4
(December, 2003),
pp. 916-923
- Chen, Z; Dunson, DB, Random effects selection in linear mixed models.,
Biometrics, vol. 59 no. 4
(December, 2003),
pp. 762-769
- Dunson, DB; Chen, Z; Harry, J, A Bayesian approach for joint modeling of cluster size and subunit-specific outcomes.,
Biometrics, vol. 59 no. 3
(September, 2003),
pp. 521-530
- 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
- Stanford, JB; Smith, KR; Dunson, DB, Vulvar mucus observations and the probability of pregnancy.,
Obstetrics and gynecology, vol. 101 no. 6
(June, 2003),
pp. 1285-1293
- Dunson, DB; Watson, M; Taylor, JA, Bayesian latent variable models for median regression on multiple outcomes.,
Biometrics, vol. 59 no. 2
(June, 2003),
pp. 296-304
- Dunson, DB; Neelon, B, Bayesian inference on order-constrained parameters in generalized linear models.,
Biometrics, vol. 59 no. 2
(June, 2003),
pp. 286-295
- Dunson, DB, Incorporating heterogeneous intercourse records into time to pregnancy models,
Mathematical Population Studies, vol. 10 no. 2
(April, 2003),
pp. 127-143, Informa UK Limited, ISSN 0889-8480
- 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
- Dunson, DB; Chulada, P; Arbes, SJ, Bayesian modeling of time-varying and waning exposure effects.,
Biometrics, vol. 59 no. 1
(March, 2003),
pp. 83-91
- Baird, DD; Dunson, DB, Why is parity protective for uterine fibroids?,
Epidemiology (Cambridge, Mass.), vol. 14 no. 2
(March, 2003),
pp. 247-250
- Chulada, PC; Arbes, SJ; Dunson, D; Zeldin, DC, Breast-feeding and the prevalence of asthma and wheeze in children: analyses from the Third National Health and Nutrition Examination Survey, 1988-1994.,
The Journal of allergy and clinical immunology, vol. 111 no. 2
(February, 2003),
pp. 328-336
- 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
- Dunson, B; Baird, DD, Bayesian modeling of incidence and progression of disease from cross-sectional data.,
Biometrics, vol. 58 no. 4
(December, 2002),
pp. 813-822
- 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, vol. 8 no. 6
(October, 2002),
pp. 1421-1444, Informa UK Limited, ISSN 1080-7039
- Mikolajczyk, R, TwoDay Algorithm in predicting fertile time.,
Human reproduction (Oxford, England), vol. 17 no. 7
(July, 2002),
pp. 1925, ISSN 0268-1161
- Tiano, HF; Loftin, CD; Akunda, J; Lee, CA; Spalding, J; Sessoms, A; Dunson, DB; Rogan, EG; Morham, SG; Smart, RC; Langenbach, R, Deficiency of either cyclooxygenase (COX)-1 or COX-2 alters epidermal differentiation and reduces mouse skin tumorigenesis.,
Cancer research, vol. 62 no. 12
(June, 2002),
pp. 3395-3401
- Dunson, DB; Colombo, B; Baird, DD, Changes with age in the level and duration of fertility in the menstrual cycle.,
Human reproduction (Oxford, England), vol. 17 no. 5
(May, 2002),
pp. 1399-1403, ISSN 0268-1161
- Dunson, DB; Dinse, GE, Bayesian models for multivariate current status data with informative censoring.,
Biometrics, vol. 58 no. 1
(March, 2002),
pp. 79-88, ISSN 0006-341X
- Dunson, DB; Baird, DD, A proportional hazards model for incidence and induced remission of disease.,
Biometrics, vol. 58 no. 1
(March, 2002),
pp. 71-78, ISSN 0006-341X
- Dollé, MET; Snyder, WK; Dunson, DB; Vijg, J, Mutational fingerprints of aging.,
Nucleic acids research, vol. 30 no. 2
(January, 2002),
pp. 545-549, ISSN 0305-1048
- Dunson, DB, Bayesian modeling of the level and duration of fertility in the menstrual cycle.,
Biometrics, vol. 57 no. 4
(December, 2001),
pp. 1067-1073
- Dunson, DB; Sinai, I; Colombo, B, The relationship between cervical secretions and the daily probabilities of pregnancy: effectiveness of the TwoDay Algorithm.,
Human reproduction (Oxford, England), vol. 16 no. 11
(November, 2001),
pp. 2278-2282, ISSN 0268-1161
- 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
- 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
- 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.,
J Infect Dis, vol. 184 no. 2
(July, 2001),
pp. 127-135, ISSN 0022-1899
- Dunson, DB; Baird, DD, A flexible parametric model for combining current status and age at first diagnosis data.,
Biometrics, vol. 57 no. 2
(June, 2001),
pp. 396-403
- Dunson, DB, Commentary: practical advantages of Bayesian analysis of epidemiologic data.,
American journal of epidemiology, vol. 153 no. 12
(June, 2001),
pp. 1222-1226
- 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
- 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
- Dunson, DB; Perreault, SD, Factor analytic models of clustered multivariate data with informative censoring.,
Biometrics, vol. 57 no. 1
(March, 2001),
pp. 302-308, ISSN 0006-341X
- 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
- Dunson, DB; Weinberg, CR; Baird, DD; Kesner, JS; Wilcox, AJ, Assessing human fertility using several markers of ovulation.,
Statistics in medicine, vol. 20 no. 6
(March, 2001),
pp. 965-978, ISSN 0277-6715
- 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
- 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
- Dunson, DB; Dinse, GE, Distinguishing effects on tumor multiplicity and growth rate in chemoprevention experiments.,
Biometrics, vol. 56 no. 4
(December, 2000),
pp. 1068-1075
- 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
- Dunson, DB; Tindall, KR, Bayesian analysis of mutational spectra.,
Genetics, vol. 156 no. 3
(November, 2000),
pp. 1411-1418
- Dunson, DB, Assessing overall risk in reproductive experiments.,
Risk analysis : an official publication of the Society for Risk Analysis, vol. 20 no. 4
(August, 2000),
pp. 429-437
- Dunson, DB; Haseman, JK; van Birgelen, AP; Stasiewicz, S; Tennant, RW, Statistical analysis of skin tumor data from Tg.AC mouse bioassays.,
Toxicological sciences : an official journal of the Society of Toxicology, vol. 55 no. 2
(June, 2000),
pp. 293-302
- Dunson, DB; Weinberg, CR, Modeling human fertility in the presence of measurement error.,
Biometrics, vol. 56 no. 1
(March, 2000),
pp. 288-292, ISSN 0006-341X
- 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
- 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
- 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
- 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
- Dunson, DB; Haseman, JK, Modeling tumor onset and multiplicity using transition models with latent variables.,
Biometrics, vol. 55 no. 3
(September, 1999),
pp. 965-970, ISSN 0006-341X
- Dunson, WA; Dunson, DB, Factors influencing growth and survival of the killifish, Rivulus marmoratus, held inside enclosures in mangrove swamps,
Copeia, vol. 1999 no. 3
(August, 1999),
pp. 661-668, JSTOR
- 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 (Oxford, England), vol. 14 no. 7
(July, 1999),
pp. 1835-1839, ISSN 0268-1161
- Dunson, DB; Weinberg, CR; Perreault, SD; Chapin, RE, Summarizing the motion of self-propelled cells: applications to sperm motility.,
Biometrics, vol. 55 no. 2
(June, 1999),
pp. 537-543, ISSN 0006-341X
- Dunson, DB, Dose-dependent number of implants and implications in developmental toxicity.,
Biometrics, vol. 54 no. 2
(June, 1998),
pp. 558-569, ISSN 0006-341X
- Dunson, WA; Paradise, CJ; Dunson, DB, Inhibitory effect of low salinity on growth and reproduction of the estuarine sheepshead minnow, Cyprinodon variegatus,
Copeia, vol. 1998 no. 1
(February, 1998),
pp. 235-239, JSTOR
Papers Submitted
- 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, Nonparametric Bayes,
in Past, Present, and Future of Statistical Science
(January, 2014),
pp. 281-291, ISBN 9781482204964
- 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
- Weinberg, CR; Dunson, DB, Some issues in assessing human fertility,
in Statistics in the 21st Century
(January, 2001),
pp. 42-49, ISBN 9781584882725