D. Dunson

Lianming Wang, David B Dunson, D. Dunson, 2011, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Bayesian incidence analysis of animal tumorigenicity data

David B. Dunson, Gregg E. Dinse, D. Dunson, 2001 .

The relationship between cervical secretions and the daily probabilities of pregnancy: effectiveness of the TwoDay Algorithm.

D B Dunson, D. Dunson, B. Colombo, 2001, Human reproduction.

Marginally specified priors for non‐parametric Bayesian estimation

Peter D. Hoff, David C. Kessler, D. Dunson, 2012, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Bayesian Latent Factor Regression for Functional and Longitudinal Data

Brian Neelon, Silvia Montagna, David B Dunson, 2012, Biometrics.

Dynamic model for multivariate markers of fecundability.

David B Dunson, Joseph B Stanford, D. Dunson, 2010, Biometrics.

Two-Level Stochastic Search Variable Selection in GLMs with Missing Predictors

David Dunson, Robin Mitra, D. Dunson, 2010, The international journal of biostatistics.

Bayesian Semiparametric Multiple Shrinkage

D. Dunson, R. MacLehose, 2010, Biometrics.

Bayesian Multivariate Isotonic Regression Splines

D. Dunson, B. Cai, 2007 .

Efficient Bayesian Model Averaging in Factor Analysis

David B. Dunson, D. Dunson, 2006 .

On posterior consistency of tail index for Bayesian kernel mixture models

D. Dunson, Cheng Li, Lizhen Lin, 2015, Bernoulli.

Theoretical Limits of Record Linkage and Microclustering

D. Dunson, K. Lum, J. Johndrow, 2017, 1703.04955.

Enriched Stick-Breaking Processes for Functional Data

Bruno Scarpa, David B Dunson, D. Dunson, 2014, Journal of the American Statistical Association.

QUANTILE REGRESSION VARIABLE SELECTION 2 . 1 Augmented likelihood specification

Cathy W. S. Chen, D. Dunson, Keming Yu, 2013 .

Bayesian inference on dependence in multivariate longitudinal data

D. Dunson, Hongxia Yang, S. Mumford, 2012, 1208.2977.

Functional Clustering in Nested Designs

D. Dunson, Abel Rodríguez, 2010 .

NONPARAMETRIC BAYES KERNEL-BASED PRIORS FOR FUNCTIONAL DATA ANALYSIS

David B. Dunson, Richard F. MacLehose, D. Dunson, 2009 .

Bayesian Modeling of Time‐Varying and Waning Exposure Effects

David B Dunson, D. Dunson, P. Chulada, 2003, Biometrics.

Sparse Variational Analysis of Large Longitudinal Data Sets

D. Dunson, A. Armagan, 2009 .

Fitting semiparametric random effects models to large data sets.

David B Dunson, Michael L Pennell, D. Dunson, 2006, Biostatistics.

Empirical Bayes fitting of semiparametric random effects models to large data sets

D. Dunson, M. Pennell, 2005 .

Latent Nested Nonparametric Priors (with Discussion).

D. Dunson, A. Lijoi, I. Prünster, 2018, Bayesian analysis.

Bayesian Nonparametric Higher Order Hidden Markov Models

David B. Dunson, Abhra Sarkar, D. Dunson, 2018 .

Hierarchical Bayesian Embeddings for Analysis and Synthesis of High-Dimensional Dynamic Data

L. Carin, E. Fox, D. Dunson, 2012 .

Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors

Bruno Scarpa, David B Dunson, D. Dunson, 2009, Biometrics.

Multivariate kernel partition processes

D. Dunson, 2009 .

Posterior consistency in linear models under shrinkage priors

David B. Dunson, Waheed U. Bajwa, Jaeyong Lee, 2013 .

MULTIVARIATE MIXED MEMBERSHIP MODELING: INFERRING DOMAIN-SPECIFIC RISK PROFILES.

D. Dunson, B. Singer, Massimiliano Russo, 2019, The annals of applied statistics.

Bayesian Inference on Changes in Response Densities Over Predictor Clusters

David B. Dunson, Amy H. Herring, Anna Maria Siega-Riz, 2008, Journal of the American Statistical Association.

Semiparametric Bayes Joint Modeling with Functional Predictors

D. Dunson, A. Siega-Riz, A. Herring, 2007 .

Supplemental Material For: Bayesian Local Extremum Splines

D. Dunson, A. Herring, M. Wheeler, 2017 .

J an 2 01 6 Bayesian Graphical Models for Multivariate Functional Data

D. Dunson, Nate Strawn, Hongxiao Zhu, 2018 .

Dose-dependent number of implants and implications in developmental toxicity.

D. Dunson, David B. Dunson, 1998, Biometrics.

Inference on High-Dimensional Sparse Count Data

D. Dunson, J. Datta, 2015, 1510.04320.

Convex mixture regression for quantitative risk assessment

D. Dunson, A. Canale, Daniele Durante, 2017, Biometrics.

Semiparametric Bayes Local Additive Models for Longitudinal Data

D. Dunson, Hongtu Zhu, Zhaowei Hua, 2015, Statistics in Biosciences.

Latent factor density regression models

D. Dunson, A. Bhattacharya, D. Pati, 2012 .

Nonparametric Bayes local borrowing of information and clustering

D. Dunson, 2008 .

Discussion of “ Bayesian Nonparametric Latent Feature Models ” by Zoubin Ghahramani

D. Dunson, 2006 .

Geodesic Distance Estimation with Spherelets

D. Dunson, Didong Li, 2019, 1907.00296.

Bayesian Methods for Assessing Ordering in Hazard Functions

D. Dunson, L. Gunn, 2022 .

Bayesian cumulative shrinkage for infinite factorizations.

D. Dunson, Daniele Durante, Sirio Legramanti, 2019, Biometrika.

Bayesian semiparametric long memory models for discretized event data

David B. Dunson, Antik Chakraborty, Otso Ovaskainen, 2020, 2004.08309.

Nearest Neighbor Dirichlet Process

David B. Dunson, Antik Chakraborty, Shounak Chattopadhyay, 2020 .

Posterior computation with the Gibbs zig-zag sampler

Jianfeng Lu, David Dunson, Matthias Sachs, 2020, 2004.04254.

Mutational fingerprints of aging.

D. Dunson, J. Vijg, M. Dollé, 2002, Nucleic acids research.

Bayesian hierarchical modeling of simply connected 2D shapes

D. Dunson, D. Pati, Kelvin Gu, 2012, 1201.1658.

Consistent Entropy Estimation for Stationary Time Series

Alexander L. Young, D. Dunson, 2019 .

On the frequency of intercourse around ovulation: evidence for biological influences.

D. Dunson, C. Weinberg, A. Wilcox, 2004, Human reproduction.

Association of physical activity with development of uterine leiomyoma.

D. Dunson, D. Baird, M. Hill, 2007, American journal of epidemiology.

Bayesian Modeling of Space-Time Properties of Infectious Disease in a College Student Population

L. Carin, D. Dunson, A. Zaas, 2013 .

Bayesian selection of predictors of conception probabilities across the menstrual cycle.

D. Dunson, B. Scarpa, 2006, Paediatric and perinatal epidemiology.

Vulnerable Brain Networks Associated with Risk for Alzheimer’s Disease

Hae Sol Moon, Jeffrey N. Browndyke, D. Dunson, 2022, bioRxiv.

Cervical mucus secretions on the day of intercourse: an accurate marker of highly fertile days.

D. Dunson, B. Colombo, B. Scarpa, 2006, European journal of obstetrics, gynecology, and reproductive biology.

Luteinizing Hormone in Premenopausal Women May Stimulate Uterine Leiomyomata Development

D. Dunson, D. Baird, J. Kesner, 2006, The Journal of the Society for Gynecologic Investigation: JSGI.

Stochastic Volatility Regression for Functional Data Dynamics

D. Dunson, Bin Zhu, 2012, 1212.0181.

Covariate-informed latent interaction models: Addressing geographic & taxonomic bias in predicting bird-plant interactions

D. Dunson, O. Ovaskainen, C. Bello, 2021, 2103.05557.

The whole genome landscape of Burkitt lymphoma subtypes.

J. Bailey, D. Dunson, W. Choi, 2019, Blood.

Limits of epidemic prediction using SIR models

Alexander L. Young, D. Dunson, J. Johndrow, 2021, Journal of Mathematical Biology.

Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation

D. Dunson, S. Gregory, A. Ashley-Koch, 2015, BMC Genomics.

COMPOSITE MIXTURE OF LOG-LINEAR MODELS WITH APPLICATION TO PSYCHIATRIC STUDIES.

D. Dunson, Emanuele Aliverti, 2022, The annals of applied statistics.

Efficient posterior sampling for high-dimensional imbalanced logistic regression.

D. Dunson, Jianfeng Lu, Matthias Sachs, 2019, Biometrika.

Posterior Computation with the Gibbs Zig-Zag Sampler

D. Dunson, Jianfeng Lu, Matthias Sachs, 2020, Bayesian Analysis.

Topical and oral administration of the natural water-soluble antioxidant from spinach reduces the multiplicity of papillomas in the Tg.AC mouse model.

D. Dunson, J. Spalding, T. Goldsworthy, 2001, Toxicology letters.

Bayesian selection of optimal rules for timing intercourse to conceive by using calendar and mucus.

D. Dunson, B. Scarpa, E. Giacchi, 2007, Fertility and sterility.

Maternal serum level of the DDT metabolite DDE in relation to fetal loss in previous pregnancies.

D. Dunson, M. Longnecker, Haibo Zhou, 2005, Environmental research.

PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits

D. Dunson, Meng Li, Rongjie Liu, 2021, 2103.03478.

The genetic landscape of immune-competent and HIV lymphoma

Dereje D. Jima, D. Dunson, W. Choi, 2012, Infectious Agents and Cancer.

Recycling Intermediate Steps to Improve Hamiltonian Monte Carlo

D. Dunson, A. Nishimura, 2015, Bayesian Analysis.

Bayesian Mosaic: Parallelizable Composite Posterior

D. Dunson, Ye Wang, 2018, 1804.00353.

Bayesian sparse linear regression with unknown symmetric error

D. Dunson, Lizhen Lin, Minwoo Chae, 2016, Information and Inference: A Journal of the IMA.

Inferring Manifolds From Noisy Data Using Gaussian Processes

D. Dunson, Nan Wu, 2021, ArXiv.

Bayesian Manifold Regression

D. Dunson, Yun Yang, 2013, 1305.0617.

Distributed Bayesian clustering using finite mixture of mixtures

D. Dunson, Yingjian Wang, Hanyu Song, 2020, 2003.13936.

Limits of epidemic prediction using SIR models

Alexander L. Young, D. Dunson, J. Johndrow, 2021, Journal of Mathematical Biology.

Exponential-Wrapped Distributions on Symmetric Spaces

D. Dunson, Yulong Lu, Didong Li, 2020, SIAM Journal on Mathematics of Data Science.

Density estimation and modeling on symmetric spaces

D. Dunson, Yulong Lu, Didong Li, 2020 .

Comment on Article by Craigmile et al.

D. Dunson, 2009 .

Inferring Synergistic and Antagonistic Interactions in Mixtures of Exposures

D. Dunson, S. Engel, Shounak Chattopadhyay, 2022, 2210.09279.

Computationally efficient Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

8th Workshop on Bayesian Nonparametrics

Michael I. Jordan, D. Dunson, S. Walker, 2011 .

Tree representations of brain structural connectivity via persistent homology

D. Dunson, Zhengwu Zhang, Didong Li, 2022, Frontiers in neuroscience.

Effect of antioxidants on the papilloma response and liver glutathione modulation mediated by arsenic in Tg.AC transgenic mice

D. Dunson, D. Germolec, A. Nyska, 2003 .

Modeling accounting for data collection

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Bayesian nonparametric regression with varying residual density

D. Dunson, D. Pati, 2014, Annals of the Institute of Statistical Mathematics.

Gaussian process models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Bayesian inference on high-dimensional multivariate binary responses

D. Dunson, Antik Chakraborty, Rihui Ou, 2021, 2106.02127.

Bayesian Functional Principal Component Analysis using Relaxed Mutually Orthogonal Processes

D. Dunson, A. Herring, James Matuk, 2022, 2205.12361.

Asymptotics and connections to non-Bayesian approaches

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Hierarchical linear models

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Basics of Markov chain simulation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Introduction to Bayesian computation

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Models for missing data

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Introduction to multiparameter models

David B. Dunson, Hal S. Stern, Andrew Gelman, 2013 .

Data and text mining Extrema-weighted feature extraction for functional data

D. Dunson, R. Schroeder, W. V. Boom, 2018 .

Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data

David B. Dunson, Yuqi Gu, D. Dunson, 2021, 2101.10373.

Fair Predictive Algorithms

David B. Dunson, Kristian Lum, James E. Johndrow, 2018 .

Bayesian nonparametric inference on the Stiefel manifold

David B. Dunson, Vinayak A. Rao, Lizhen Lin, 2013, 1311.0907.

Models for robust inference

David B. Dunson, Aki Vehtari, Hal S. Stern, 1995 .

Discontinuous Hamiltonian Monte Carlo for discrete parameters and discontinuous likelihoods

D. Dunson, Jianfeng Lu, A. Nishimura, 2017, 1705.08510.

Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa

D. Dunson, T. Rigon, Alessandro Zito, 2022, Methods in Ecology and Evolution.

Efficient Entropy Estimation for Stationary Time Series

Alexander L. Young, D. Dunson, 2019, ArXiv.

Semiparametric Bayes Local Additive Models for Longitudinal Data

D. Dunson, Hong-Tu Zhu, Zhaowei Hua, 2013, Statistics in Biosciences.

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14) pdf

Pascal Frossard, Aleksandra Pizurica, David B. Dunson, 2014, ArXiv.

Latent Stick-Breaking Processes

David B. Dunson, Alan E. Gelfand, Abel Rodríguez, 2010, Journal of the American Statistical Association.

Male mice song syntax depends on social contexts and influences female preferences

David B. Dunson, Abhra Sarkar, Jonathan Chabout, 2015, Front. Behav. Neurosci..

Whence Healthy Children ? | Mini-Monograph Methodologic and Statistical Approaches to Studying Human Fertility and Environmental Exposure

David B Dunson, Joseph B Stanford, D. Dunson, 2003 .

High cumulative incidence of uterine leiomyoma in black and white women: ultrasound evidence.

David B Dunson, D. Dunson, D. Baird, 2003, American journal of obstetrics and gynecology.

Changes with age in the level and duration of fertility in the menstrual cycle.

D. Dunson, B. Colombo, D. Baird, 2002, Human reproduction.

Escaping The Curse of Dimensionality in Bayesian Model-Based Clustering

David B. Dunson, Noirrit Kiran Chandra, Antonio Canale, 2020, J. Mach. Learn. Res..

Bayesian clustering of high-dimensional data

David B. Dunson, Noirrit Kiran Chandra, Antonio Canale, 2020 .

How to make more out of community data? A conceptual framework and its implementation as models and software.

Anna Norberg, David Dunson, Otso Ovaskainen, 2017, Ecology letters.

Bayesian constraint relaxation.

Akihiko Nishimura, David B Dunson, Alexander L. Young, 2018, Biometrika.

Bayesian analysis of mutational spectra.

D. Dunson, K. Tindall, 2000, Genetics.

Statistical analysis of skin tumor data from Tg.AC mouse bioassays.

D. Dunson, R. Tennant, S. Stasiewicz, 2000, Toxicological sciences : an official journal of the Society of Toxicology.

Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes

D. Dunson, Bora Jin, M. Peruzzi, 2021, 2112.11870.

Nonparametric Bayes Modeling of Populations of Networks

Daniele Durante, David B. Dunson, Joshua T. Vogelstein, 2014, 1406.7851.

IDENTIFYING MAIN EFFECTS AND INTERACTIONS AMONG EXPOSURES USING GAUSSIAN PROCESSES.

D. Dunson, F. Ferrari, 2019, The annals of applied statistics.

Analysis of space-time relational data with application to legislative voting

David B. Dunson, Lawrence Carin, Esther Salazar, 2013, Comput. Stat. Data Anal..

MCMC for Imbalanced Categorical Data

Aaron Smith, James E. Johndrow, Natesh Pillai, 2016, Journal of the American Statistical Association.

Inefficiency of Data Augmentation for Large Sample Imbalanced Data pdf

David B. Dunson, Aaron Smith, James E. Johndrow, 2016, ArXiv.

Bayesian modeling of temporal properties of infectious disease in a college student population

David B. Dunson, Lawrence Carin, Geoffrey S. Ginsburg, 2014 .

Lipid Adjustment for Chemical Exposures: Accounting for Concomitant Variables

D. Dunson, M. Longnecker, Daniel Li, 2013, Epidemiology.

Diagonal Orthant Multinomial Probit Models

David B. Dunson, Kristian Lum, James E. Johndrow, 2013, AISTATS.

Adverse subpopulation regression for multivariate outcomes with high‐dimensional predictors

D. Dunson, A. Ashley-Koch, Bin Zhu, 2011, Statistics in medicine.

Bayesian Semiparametric Multiple Shrinkage

David B Dunson, D. Dunson, R. MacLehose, 2010, Biometrics.

The Multiple Bayesian Elastic Net

David B. Dunson, Juan C. Vivar, Hongxia Yang, 2010 .

Bayesian Model Uncertainty in Mixed Effects Models

David B. Dunson, Satkartar K. Kinney, D. Dunson, 2008 .

Fixed and Random Effects Selection in Linear and Logistic Models

Satkartar K. Kinney, D. Dunson, 2007, Biometrics.

Commentary: practical advantages of Bayesian analysis of epidemiologic data.

D B Dunson, D. Dunson, 2001, American journal of epidemiology.

Bayesian variable selection in quantile regression

David B. Dunson, Cathy W. S. Chen, Keming Yu, 2013 .

Nonparametric Bayes regression and classification through mixtures of product kernels

David B. Dunson, Abhishek Bhattacharya, D. Dunson, 2010 .

Performance of tests of association in misspecified generalized linear models

D. Dunson, L. Kupper, Sean M. O'Brien, 2006 .

Nonparametric Bayesian models through probit stick-breaking processes.

David B Dunson, Abel Rodríguez, D. Dunson, 2011, Bayesian analysis.

The dynamic hierarchical Dirichlet process

David B. Dunson, Lu Ren, Lawrence Carin, 2008, ICML '08.

Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods

Bonnie R. Joubert, D. Dunson, B. Coull, 2022, International journal of environmental research and public health.

Bayesian Factor Analysis for Inference on Interactions

Federico Ferrari, David B Dunson, D. Dunson, 2019, Journal of the American Statistical Association.

Antiretroviral therapy effects on genetic and morphologic end points in lymphocytes and sperm of men with human immunodeficiency virus infection.

D. Dunson, J. Haseman, C. Hamilton, 2001, The Journal of infectious diseases.

Generalized Dynamic Factor Models for Mixed-Measurement Time Series

David B. Dunson, Kai Cui, D. Dunson, 2014, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Bayesian Modular and Multiscale Regression

David B. Dunson, Michele Peruzzi, D. Dunson, 2018, 1809.05935.

Bayesian Conditional Tensor Factorizations for High-Dimensional Classification

David B. Dunson, Yun Yang, D. Dunson, 2013, Journal of the American Statistical Association.

Quantifying uncertainty in variable selection with arbitrary matrices

David B. Dunson, Galen Reeves, Willem van den Boom, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation

David B. Dunson, Lu Ren, Lawrence Carin, 2009, NIPS.

Natural limits of pregnancy testing in relation to the expected menstrual period.

D. Dunson, C. Weinberg, A. Wilcox, 2001, JAMA.

Extended Stochastic Block Models

Daniele Durante, David B. Dunson, Sirio Legramanti, 2020 .

Locally Adaptive Dynamic Networks

Daniele Durante, David B. Dunson, D. Dunson, 2015, 1505.05668.

A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

David B. Dunson, Jane Elith, Antoine Guisan, 2019, Ecological Monographs.

Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design pdf

David B. Dunson, Lauren Hannah, D. Dunson, 2012, ICML.

Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor Analysis

David B Dunson, Joyee Ghosh, D. Dunson, 2009, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Genetic heterogeneity of diffuse large B-cell lymphoma

David Dunson, Ting Ni, Anjishnu Banerjee, 2013, Proceedings of the National Academy of Sciences.

Projected t-SNE for batch correction

D. Dunson, K. Wilhelmsen, D. Filer, 2019, Bioinform..

Improving Risk Assessment: Research Opportunities in Dose Response Modeling to Improve Risk Assessment

David B. Dunson, Harvey J. Clewell, A. John Bailer, 2002 .

Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma

D. Dunson, W. Choi, M. Calaminici, 2017, Cell.

Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2

D. Dunson, R. Gascoyne, S. Dave, 2017, The Journal of experimental medicine.

The Genetic Basis of Hepatosplenic T-cell Lymphoma.

D. Dunson, I. Lossos, W. Chan, 2017, Cancer discovery.

The genomic landscape of mantle cell lymphoma is related to the epigenetically determined chromatin state of normal B cells.

Dereje D. Jima, D. Dunson, S. Dave, 2014, Blood.

Bayesian Models for Multivariate Current Status Data with Informative Censoring

David B Dunson, Gregg E Dinse, D. Dunson, 2002, Biometrics.

Soft Tensor Regression

D. Dunson, Zhengwu Zhang, Georgia Papadogeorgou, 2019, J. Mach. Learn. Res..

GENERALIZED DOUBLE PARETO SHRINKAGE.

Jaeyong Lee, Artin Armagan, David B Dunson, 2011, Statistica Sinica.

Uterine Leiomyomata in Relation to Insulin-like Growth Factor-I, Insulin, and Diabetes

D. Dunson, D. Baird, S. London, 2009, Epidemiology.

A Proportional Hazards Model for Incidence and Induced Remission of Disease

D. Dunson, D. Baird, 2002, Biometrics.

A hybrid bayesian approach for genome-wide association studies on related individuals

David B. Dunson, A. Yazdani, D. Dunson, 2015, Bioinform..

Inhibitory Effect of Low Salinity on Growth and Reproduction of the Estuarine Sheepshead Minnow, Cyprinodon variegatus

D. Dunson, W. Dunson, C. Paradise, 1998 .

Efficient manifold approximation with spherelets

D. Dunson, Minerva Mukhopadhyay, Didong Li, 2022, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Graph based Gaussian processes on restricted domains

David B. Dunson, Nan Wu, Hau‐Tieng Wu, 2020, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Diffusion Based Gaussian Processes on Restricted Domains

Hau-Tieng Wu, Nan Wu, David B Dunson, 2020 .

Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering

Saptarshi Chakraborty, Debolina Paul, David Dunson, 2020, 2008.07110.

Classification via local manifold approximation pdf

David B. Dunson, Didong Li, D. Dunson, 2019, Biometrika.

Locally Convex Kernel Mixtures: Bayesian Subspace Learning

David B. Dunson, Hau-Tieng Wu, Duy Hoang Thai, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Structured Bayesian learning through mixture models

David B. Dunson, Francesca Petralia, Lisa K. David, 2013 .

Predicting phenotypes from brain connection structure

D. Dunson, R. Jung, Subharup Guha, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Classification with Incomplete Data Using Dirichlet Process Priors

David B. Dunson, Lawrence Carin, Xuejun Liao, 2010, J. Mach. Learn. Res..

Multi-task learning for sequential data via iHMMs and the nested Dirichlet process

David B. Dunson, Lawrence Carin, Kai Ni, 2007, ICML '07.

Bayesian Inference for Genomic Data Integration Reduces Misclassification Rate in Predicting Protein-Protein Interactions

David B. Dunson, Chuanhua Xing, D. Dunson, 2011, PLoS Comput. Biol..

Semiparametric Bayesian local functional models for diffusion tensor tract statistics

Martin Styner, John H. Gilmore, David B. Dunson, 2012, NeuroImage.

The Hastings algorithm at fifty

D. Dunson, J. Johndrow, 2020 .

Robust and Scalable Bayes via a Median of Subset Posterior Measures pdf

David B. Dunson, Lizhen Lin, Stanislav Minsker, 2014, J. Mach. Learn. Res..

Bayesian Semiparametric Mixed Effects Markov Chains

David B. Dunson, Abhra Sarkar, Jonathan Chabout, 2016, 1611.05509.

Maternal serum levels of polychlorinated biphenyls and 1,1-dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) and time to pregnancy.

D. Dunson, M. Longnecker, J. Brock, 2005, American journal of epidemiology.

Models for papilloma multiplicity and regression: applications to transgenic mouse studies

David B. Dunson, D. Dunson, 2000 .

Generalized Admixture Mapping for Complex Traits

D. Dunson, A. Ashley-Koch, Bin Zhu, 2011, G3: Genes, Genomes, Genetics.

Effects of sexual intercourse patterns in time to pregnancy studies.

David B Dunson, Joseph B Stanford, D. Dunson, 2007, American journal of epidemiology.

Robust Optimization and Inference on Manifolds

David B. Dunson, Drew Lazar, Lizhen Lin, 2020, Statistica Sinica.

Bayesian Factorizations of Big Sparse Tensors

David Dunson, Anirban Bhattacharya, Amy Herring, 2013, Journal of the American Statistical Association.

Posterior contraction in sparse Bayesian factor models for massive covariance matrices

Debdeep Pati, Natesh S. Pillai, David Dunson, 2012, 1206.3627.

Bayesian cumulative shrinkage for infinite factorizations.

D. Dunson, Daniele Durante, Sirio Legramanti, 2019, Biometrika.

Bayesian Graphical Models for Multivariate Functional Data

David B. Dunson, Nate Strawn, Hongxiao Zhu, 2014, J. Mach. Learn. Res..

Parallelizing MCMC via Weierstrass Sampler

Xiangyu Wang, David B. Dunson, D. Dunson, 2013, 1312.4605.

Data augmentation for models based on rejection sampling

David B. Dunson, Vinayak A. Rao, Lizhen Lin, 2014, Biometrika.

Extrinsic Local Regression on Manifold-Valued Data

David B. Dunson, Hongtu Zhu, Lizhen Lin, 2015, Journal of the American Statistical Association.

Tensor network factorizations: Relationships between brain structural connectomes and traits

Zhengwu Zhang, Hongtu Zhu, Genevera I. Allen, 2018, NeuroImage.

Mapping population-based structural connectomes

David B. Dunson, Maxime Descoteaux, Zhengwu Zhang, 2018, NeuroImage.

Bayesian modelling of networks in complex business intelligence problems

Daniele Durante, David B. Dunson, Sally Paganin, 2015, 1510.00646.

Bayesian Model Selection and Averaging in Additive and Proportional Hazards Models

David B. Dunson, Amy H. Herring, D. Dunson, 2005, Lifetime data analysis.

Semiparametric Bayes Multiple Testing: Applications to Tumor Data

David B Dunson, D. Dunson, Lianming Wang, 2010, Biometrics.

Strong consistency of nonparametric Bayes density estimation on compact metric spaces with applications to specific manifolds

David B. Dunson, Abhishek Bhattacharya, D. Dunson, 2012, Annals of the Institute of Statistical Mathematics.

Bayesian Nonparametrics: Nonparametric Bayes applications to biostatistics

David B. Dunson, D. Dunson, 2010 .

Bayesian Structural Equation Modeling

David B. Dunson, Jesus Palomo, Kenneth A. Bollen, 2007 .

Reducing over-clustering via the powered Chinese restaurant process pdf

David B. Dunson, Meng Li, Jun Lu, 2018, ArXiv.

Nonparametric Bayes inference on conditional independence

David B. Dunson, Tsuyoshi Kunihama, D. Dunson, 2014, 1404.1429.

Multi-task compressive sensing with Dirichlet process priors

David B. Dunson, Lawrence Carin, Dehong Liu, 2008, ICML '08.

Variable Selection in Nonparametric Random Effects Models

D. Dunson, B. Cai, 2022 .

Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries

D. Dunson, R. Schroeder, W. van den Boom, 2018, Diabetes Care.

BAYESIAN JOINT MODELING OF CHEMICAL STRUCTURE AND DOSE RESPONSE CURVES.

Kelly R. Moran, David Dunson, Matthew W. Wheeler, 2019, The annals of applied statistics.

Assessing human fertility using several markers of ovulation

D. Dunson, C. Weinberg, A. Wilcox, 2001, Statistics in medicine.

Scalable and Robust Bayesian Inference via the Median Posterior

David B. Dunson, Lizhen Lin, Stanislav Minsker, 2014, ICML.

Book Reviews

J. Ledolter, D. Dunson, D. Mandallaz, 2009 .

High‐Dimensional Variable Selection in Meta‐Analysis for Censored Data

Fei Zou, Fei Liu, David Dunson, 2011, Biometrics.

Likelihood of conception with a single act of intercourse: providing benchmark rates for assessment of post-coital contraceptives.

D. Dunson, C. Weinberg, A. Wilcox, 2001, Contraception.

Nearest Neighbor Dirichlet Process

D. Dunson, Antik Chakraborty, Shounak Chattopadhyay, 2020 .

Nearest Neighbor Dirichlet Mixtures

D. Dunson, Antik Chakraborty, Shounak Chattopadhyay, 2020, 2003.07953.

Deficiency of either cyclooxygenase (COX)-1 or COX-2 alters epidermal differentiation and reduces mouse skin tumorigenesis.

D. Dunson, J. Spalding, R. Smart, 2002, Cancer research.

Probability and inference

D. Rubin, J. Carlin, A. Gelman, 2013 .

Bayesian consensus clustering

David B. Dunson, Eric F. Lock, D. Dunson, 2013, Bioinform..

Semiconvex Regression for Metamodeling-Based Optimization

David B. Dunson, Warren B. Powell, Lauren Hannah, 2014, SIAM J. Optim..

Compressed Gaussian Process for Manifold Regression

David B. Dunson, Rajarshi Guhaniyogi, D. Dunson, 2016, J. Mach. Learn. Res..

Parallelizing MCMC with Random Partition Trees

Xiangyu Wang, David B. Dunson, Katherine A. Heller, 2015, NIPS.

Bayesian Tensor Regression

David B. Dunson, Shaan Qamar, Rajarshi Guhaniyogi, 2015, J. Mach. Learn. Res..

Locally adaptive factor processes for multivariate time series

Daniele Durante, David B. Dunson, Bruno Scarpa, 2012, J. Mach. Learn. Res..

Locally Adaptive Bayesian Multivariate Time Series

Daniele Durante, David B. Dunson, Bruno Scarpa, 2013, NIPS.

Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes

Bin Zhu, David B Dunson, D. Dunson, 2012, Journal of the American Statistical Association.

studyday specific estimates from a prospective The timing of the "fertile window" in the menstrual

D. Dunson, A. Wilcox, D. Baird, 2007 .

study cycle : day specific estimates from a prospective The timing of the " fertile window " in the menstrual

D. Dunson, D. Baird, 2000 .

Personalised estimation of a woman’s most fertile days

D. Dunson, V. Jennings, Daniel Li, 2016, The European journal of contraception & reproductive health care : the official journal of the European Society of Contraception.

Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics

David B. Dunson, Jing-Sheng Song, Yan Shang, 2014, Oper. Res..

Bayesian isotonic density regression.

D. Dunson, Lianming Wang, 2011, Biometrika.

1 NONPARAMETRIC FUNCTIONAL DATA ANALYSIS THROUGH BAYESIAN DENSITY ESTIMATION

BSTRACT, Bstract, A. Gelfand, 2007 .

Multi-task classification with infinite local experts

David B. Dunson, Lawrence Carin, Qi An, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Random effect and latent variable model selection

D. Dunson, 2008 .

Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies

David B. Dunson, Abel Rodriguez, D. Dunson, 2014, 1411.5510.

A generalized Bayes framework for probabilistic clustering

David B. Dunson, Tommaso Rigon, Amy H. Herring, 2020, Biometrika.

Centered Partition Processes: Informative Priors for Clustering (with Discussion).

David B. Dunson, Sally Paganin, Amy H. Herring, 2019, Bayesian analysis.

Bayesian Distance Clustering pdf

David B. Dunson, Leo L. Duan, D. Dunson, 2018, J. Mach. Learn. Res..

Repulsive Mixtures

David B. Dunson, Vinayak A. Rao, Francesca Petralia, 2012, NIPS.

Covariate-Informed Latent Interaction Models: Addressing Geographic & Taxonomic Bias in Predicting Bird–Plant Interactions

D. Dunson, O. Ovaskainen, C. Bello, 2021, Journal of the American Statistical Association.

EXTENDED STOCHASTIC BLOCK MODELS WITH APPLICATION TO CRIMINAL NETWORKS.

D. Dunson, Daniele Durante, Sirio Legramanti, 2020, The annals of applied statistics.

Scalable Bayesian inference for time series via divide-and-conquer

David Dunson, Deborshee Sen, Rihui Ou, 2021, 2106.11043.

Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables

Tsuyoshi Kunihama, David B Dunson, D. Dunson, 2012, Journal of the American Statistical Association.

Dynamic Nonparametric Bayesian Models for Analysis of Music

Scott Lindroth, Lawrence Carin, David Dunson, 2010 .

Boosting Variational Inference pdf

Xiangyu Wang, David B. Dunson, Kai Fan, 2016, ArXiv.

A focus on graphical model design and applications to document and image analysis )

David B. Dunson, Lawrence Carin, David M. Blei, 2010 .

Breast-feeding and the prevalence of asthma and wheeze in children: analyses from the Third National Health and Nutrition Examination Survey, 1988-1994.

D. Dunson, D. Zeldin, P. Chulada, 2003, The Journal of allergy and clinical immunology.

Using latent variable models to identify large networks of species‐to‐species associations at different spatial scales

David B. Dunson, Otso Ovaskainen, Nerea Abrego, 2016 .

Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data

Kelly R. Moran, David Dunson, Amy H Herring, 2019, Journal of the Royal Statistical Society. Series C, Applied statistics.

Wood-inhabiting fungi with tight associations with other species have declined as a response to forest management

David B. Dunson, Otso Ovaskainen, Nerea Abrego, 2017 .

Symmetric Bilinear Regression for Signal Subgraph Estimation

Lu Wang, Zhengwu Zhang, David Dunson, 2018, IEEE Transactions on Signal Processing.

Bayesian Inference and Testing of Group Differences in Brain Networks

Daniele Durante, David B. Dunson, D. Dunson, 2014, 1411.6506.

Computationally efficient joint species distribution modeling of big spatial data

Matt White, Graeme Newell, David Dunson, 2019, Ecology.

Fiedler Regularization: Learning Neural Networks with Graph Sparsity

D. Dunson, Edric Tam, 2020, ICML.

Locally adaptive Bayesian covariance regression

Daniele Durante, David B. Dunson, Bruno Scarpa, 2012 .

Bayesian Adaptive Regression Splines for Hierarchical Data

David B Dunson, Jamie L Bigelow, D. Dunson, 2007, Biometrics.

Active learning of cortical connectivity from two-photon imaging data

Guillermo Sapiro, David Dunson, Dario Ringach, 2018, bioRxiv.

Deep Learning with Hierarchical Convolutional Factor Analysis

David B. Dunson, Guillermo Sapiro, Bo Chen, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stochastically ordered multiple regression.

Katja Ickstadt, David Dunson, Björn Bornkamp, 2010, Biostatistics.

Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data

E. Erosheva, D. Dunson, Gongjun Xu, 2021, J. Mach. Learn. Res..

Machine Learning and the Future of Bayesian Computation

D. Dunson, Sanvesh Srivastava, Trevor Campbell, 2023, ArXiv.

Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples.

D. Dunson, Nan Wu, Hau‐Tieng Wu, 2019, 1912.05680.

Tumorigenesis Epidermal Differentiation and Reduces Mouse Skin Deficiency of Either Cyclooxygenase ( COX )-1 or COX-2 Alters Updated

D. Dunson, J. Spalding, R. Smart, 2002 .

How are species interactions structured in species-rich communities? A new method for analysing time-series data

David Dunson, Otso Ovaskainen, Bernt-Erik Sæther, 2017, Proceedings of the Royal Society B: Biological Sciences.

Bayesian Semiparametric Mixed Effects Markov Models With Application to Vocalization Syntax

David B. Dunson, Abhra Sarkar, Jonathan Chabout, 2018, Journal of the American Statistical Association.

Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds pdf

David B. Dunson, Lizhen Lin, Michael Minyi Zhang, 2020, ArXiv.

Bayesian inference for Mat´ ern repulsive processes

David B. Dunson, Vinayak A. Rao, Ryan P. Adams, 2013, 1308.1136.

Nonparametric Bayes Models of Fiber Curves Connecting Brain Regions

David B. Dunson, Maxime Descoteaux, Zhengwu Zhang, 2016, Journal of the American Statistical Association.

Constrained inference through posterior projections

David Dunson, Deborshee Sen, Sayan Patra, 2018 .

Constrained Bayesian Inference through Posterior Projections

David B. Dunson, Sayan Patra, D. Dunson, 2018 .

Constraint Relaxation Methodology 2 . 1 Notation and Framework

Alexander L. Young, D. Dunson, A. Nishimura, 2018 .

Curved factor analysis with the Ellipsoid-Gaussian distribution

David B. Dunson, Hanyu Song, D. Dunson, 2022, 2201.08502.

Auto-encoding graph-valued data with applications to brain connectomes

David B. Dunson, Zhengwu Zhang, Meimei Liu, 2019, ArXiv.

Multi-scale graph principal component analysis for connectomics

Zhengwu Zhang, David Dunson, Steven Winter, 2020, 2010.02332.

Auto-encoding graph-valued data with applications to brain connectomes pdf

David B. Dunson, Zhengwu Zhang, Meimei Liu, 2019, ArXiv.

Nonparametric Bayes modeling with sample survey weights.

T. Kunihama, A. H. Herring, C. T. Halpern, 2014, Statistics & probability letters.

Nonparametric Bayes modeling for case control studies with many predictors

Jing Zhou, Amy H Herring, David B Dunson, 2016, Biometrics.

Mechanistic Hierarchical Gaussian Processes

David B. Dunson, Matthew W. Wheeler, Amy H. Herring, 2014, Journal of the American Statistical Association.

Bayesian monotone regression using Gaussian process projection

David B. Dunson, Lizhen Lin, D. Dunson, 2013, 1306.4041.

Supervised Multiscale Dimension Reduction for Spatial Interaction Networks pdf

David B. Dunson, Shaobo Han, D. Dunson, 2019, ArXiv.

Supervised Coarse-Graining of Composite Objects

David B. Dunson, Shaobo Han, D. Dunson, 2019 .

Bayesian Inferences on Uncertain Ranks and Orderings: Application to Ranking Players and Lineups

Andrés F. Barrientos, D. Dunson, Deborshee Sen, 2019, Bayesian Analysis.

Bayesian inferences on uncertain ranks and orderings

Andrés F. Barrientos, D. Dunson, Deborshee Sen, 2019 .

Some Issues in Assessing Human Fertility

David B. Dunson, Clarice R. Weinberg, D. Dunson, 2000 .

Assessing Overall Risk in Reproductive Experiments

D. Dunson, 2000, Risk analysis : an official publication of the Society for Risk Analysis.

Accounting for unreported and missing intercourse in human fertility studies.

D. Dunson, C. Weinberg, 2000, Statistics in medicine.

Summarizing the Motion of Self‐Propelled Cells: Applications to Sperm Motility

D B Dunson, C R Weinberg, S D Perreault, 1999, Biometrics.

Unifying inference on brain network variations in neurological diseases: The Alzheimer's case

Daniele Durante, David B. Dunson, Paul M. Thompson, 2015, 1510.05391.

Multitask Compressive Sensing

David B. Dunson, Lawrence Carin, Shihao Ji, 2009, IEEE Transactions on Signal Processing.

Posterior consistency in conditional distribution estimation

David B. Dunson, Debdeep Pati, Surya T. Tokdar, 2013, J. Multivar. Anal..

Theoretical limits of microclustering for record linkage

D B Dunson, D. Dunson, K. Lum, 2018, Biometrika.

Identifying Vulnerable Brain Networks in Mouse Models of Genetic Risk Factors for Late Onset Alzheimer’s Disease

David B. Dunson, Yi Qi, Eleftherios Garyfallidis, 2019, Front. Neuroinform..

J un 2 02 1 Bayesian inference on high-dimensional multivariate binary data

David B. Dunson, Antik Chakraborty, Rihui Ou, 2021, 2106.02127.

Learning phenotype densities conditional on many interacting predictors

David B. Dunson, Jack A. Taylor, David C. Kessler, 2014, Bioinform..

Learning Densities Conditional on Many Interacting Features pdf

David B. Dunson, Jack A. Taylor, David C. Kessler, 2013, ArXiv.

Rejoinder: Nonparametric Bayes Modeling of Populations of Networks

Daniele Durante, David B. Dunson, Joshua T. Vogelstein, 2017 .

On the consistency theory of high dimensional variable screening

Xiangyu Wang, David B. Dunson, Chenlei Leng, 2015, NIPS.

Lipschitz Bandit Optimization with Improved Efficiency pdf

David B. Dunson, Xu Zhu, D. Dunson, 2019, ArXiv.

Bayesian network‐response regression

D. Dunson, R. Jung, Lu Wang, 2016, Bioinform..

Absolute Winding Number Differentiates Mouse Spatial Navigation Strategies With Genetic Risk for Alzheimer’s Disease

D. Dunson, A. Badea, C. Colton, 2022, bioRxiv.

Efficiently resolving rotational ambiguity in Bayesian matrix sampling with matching

David Dunson, Evan Poworoznek, Federico Ferrari, 2021, 2107.13783.

Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis

D. Dunson, A. Finley, Sudipto Banerjee, 2021, 2101.03579.

Multivariate convex regression with adaptive partitioning

David B. Dunson, Lauren Hannah, D. Dunson, 2011, J. Mach. Learn. Res..

Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states

Alexander L. Young, D. Dunson, Deborshee Sen, 2018, 1810.13431.

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors

David B. Dunson, Yingjian Wang, Lawrence Carin, 2014, ICML.

Parallel inversion of huge covariance matrices

David Dunson, Anjishnu Banerjee, Joshua Vogelstein, 2013, 1312.1869.

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis

D. Dunson, Jason Xu, N. K. Chandra, 2023, 2305.04113.

Comparing and Weighting Imperfect Models Using D-Probabilities

David B. Dunson, Meng Li, D. Dunson, 2016, Journal of the American Statistical Association.

Modeling the Effects of a Bidirectional Latent Predictor from Multivariate Questionnaire Data

Amy H Herring, David B Dunson, D. Dunson, 2004, Biometrics.

Day-specific probabilities of clinical pregnancy based on two studies with imperfect measures of ovulation.

D B Dunson, D D Baird, C R Weinberg, 1999, Human reproduction.

Bayesian Regression with Network Predictors

Daniele Durante, David B. Dunson, D. Dunson, 2015 .

Bayesian dynamic financial networks with time-varying predictors

Daniele Durante, David B. Dunson, D. Dunson, 2014, 1403.2272.

Nonparametric Bayes classification and hypothesis testing on manifolds

David B. Dunson, Abhishek Bhattacharya, D. Dunson, 2012, J. Multivar. Anal..

Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods

Jianfeng Lu, David Dunson, Akihiko Nishimura, 2017 .

Bayesian Semiparametric Structural Equation Models with Latent Variables

D. Dunson, Ming-Chung Yang, 2010 .

Multi-Task Compressive Sensing

David B. Dunson, Lawrence Carin, Shihao Ji, 2007 .

BAYESIAN SEMIPARAMETRIC LONG MEMORY MODELS FOR DISCRETIZED EVENT DATA.

D. Dunson, O. Ovaskainen, Antik Chakraborty, 2020, The annals of applied statistics.

Transgenic Mouse Model

D. Dunson, 2006 .

Intrinsic Gaussian processes on complex constrained domains pdf

David B. Dunson, Neil D. Lawrence, Zhenwen Dai, 2018, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Extrinsic Gaussian Processes for Regression and Classification on Manifolds

David Dunson, Lizhen Lin, Mu Niu, 2017, Bayesian Analysis.

Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks pdf

David B. Dunson, Shaobo Han, D. Dunson, 2018, ArXiv.

Bayesian crack detection in ultra high resolution multimodal images of paintings

David B. Dunson, Yun Yang, Ann Dooms, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Spatial meshing for general Bayesian multivariate models

David B. Dunson, Michele Peruzzi, D. Dunson, 2022, 2201.10080.

Factors Influencing Growth and Survival of the Killifish, Rivulus marmoratus, Held inside Enclosures in Mangrove Swamps

D. Dunson, W. Dunson, 1999 .

Targeted Random Projection for Prediction From High-Dimensional Features

David B. Dunson, Minerva Mukhopadhyay, D. Dunson, 2017, Journal of the American Statistical Association.

Relationships between Human Brain Structural Connectomes and Traits

Zhengwu Zhang, Hongtu Zhu, Genevera I. Allen, 2018, bioRxiv.

Bayesian Local Contamination Models for Multivariate Outliers

David B. Dunson, Garritt L. Page, D. Dunson, 2011, Technometrics.

Generalized Beta Mixtures of Gaussians

David B. Dunson, Merlise Clyde, Artin Armagan, 2011, NIPS.

Reduced Fertilization Rates in Older Men When Cervical Mucus Is Suboptimal

D. Dunson, B. Colombo, J. Bigelow, 2005, Obstetrics and gynecology.

Bayesian Modeling of Markers of Day-Specific Fertility

D. Dunson, B. Colombo, 2003 .

Composite mixture of log-linear models for categorical data

David B. Dunson, Emanuele Aliverti, D. Dunson, 2020, 2004.01462.

Hierarchical Latent Dictionaries for Models of Brain Activation

David B. Dunson, Tom M. Mitchell, Emily B. Fox, 2012, AISTATS.

Common and individual structure of brain networks

Zhengwu Zhang, Lu Wang, David Dunson, 2017, The Annals of Applied Statistics.

Common and Individual Structure of Multiple Networks

David B. Dunson, Zhengwu Zhang, Lu Wang, 2017 .

COMMON AND INDIVIDUAL STRUCTURE OF BRAIN

Zhengwu Zhang, David Dunson, D. Dunson, 2018 .

Bayesian matrix completion for hypothesis testing.

David B. Dunson, Amy H. Herring, Julia E. Rager, 2020, Journal of the Royal Statistical Society. Series C, Applied statistics.

Bayesian Inferences in the Cox Model for Order‐Restricted Hypotheses

Amy H Herring, David B Dunson, D. Dunson, 2003, Biometrics.

Integrative Genetic and Clinical Analysis through Whole Exome Sequencing in 1001 Diffuse Large B Cell Lymphoma (DLBCL) Patients Reveals Novel Disease Drivers and Risk Groups

D. Dunson, M. Calaminici, J. Gribben, 2016 .

Bayesian Inferences on Shape Constrained Hormone Trajectories in the Menstrual Cycle

D. Dunson, L. Gunn, 2003 .

Bayesian neural networks and dimensionality reduction pdf

Theodore Papamarkou, David Dunson, Deborshee Sen, 2020, ArXiv.

PPA: Principal parcellation analysis for brain connectomes and multiple traits

D. Dunson, Meng Li, Rongjie Liu, 2021, NeuroImage.

Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation.

D. Dunson, G. Reeves, W. van den Boom, 2019, Biometrika.

Bayesian Model Selection in Factor Analytic Models

David B. Dunson, Joyee Ghosh, D. Dunson, 2008 .

Subspace segmentation by dense block and sparse representation

David B. Dunson, Jiangxin Dong, Risheng Liu, 2016, Neural Networks.

Robustifying likelihoods by optimistically re-weighting data

D. Dunson, Christopher Tosh, Jeremias Knoblauch, 2023, 2303.10525.

Improving prediction from dirichlet process mixtures via enrichment

David B. Dunson, Lorenzo Trippa, Sonia Petrone, 2014, J. Mach. Learn. Res..

Bayesian Multiscale Modeling of Closed Curves in Point Clouds

Debdeep Pati, David B Dunson, D. Dunson, 2014, Journal of the American Statistical Association.

Bag of DAGs: Flexible Nonstationary Modeling of Spatiotemporal Dependence

D. Dunson, Bora Jin, M. Peruzzi, 2022 .

Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes

D. Dunson, Yicheng Zhu, M. Peruzzi, 2022, 2211.14692.

Ellipsoid fitting with the Cayley transform

D. Dunson, Omar Melikechi, 2023, ArXiv.

Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa

David B. Dunson, Tommaso Rigon, Alessandro Zito, 2022, 2201.09782.

Scaling up Data Augmentation MCMC via Calibration

David B. Dunson, James E. Johndrow, Leo L. Duan, 2017, J. Mach. Learn. Res..

Multiscale Graph Comparison via the Embedded Laplacian Discrepancy

D. Dunson, Edric Tam, 2022, 2201.12064.

Multiscale Graph Comparison via the Embedded Laplacian Distance

D. Dunson, Edric Tam, 2022, ArXiv.

CATEGORICAL:

D. Dunson, A. Bhattacharya, D. Davar, 2020, The Varieties of Joycean Experience.

Bayesian nonparametric covariance regression

David B. Dunson, Emily B. Fox, E. Fox, 2011, J. Mach. Learn. Res..

Fast Moment Estimation for Generalized Latent Dirichlet Models

Sayan Mukherjee, David B. Dunson, Shiwen Zhao, 2016, Journal of the American Statistical Association.

Path Following and Empirical Bayes Model Selection for Sparse Regression

David B. Dunson, Hua Zhou, Artin Armagan, 2012, 1201.3528.

Bayesian Compressed Regression

David B. Dunson, Rajarshi Guhaniyogi, D. Dunson, 2013, ArXiv.

Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States pdf

David B. Dunson, Rihui Ou, Alexander L. Young, 2018, ArXiv.

Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society

Cynthia Rudin, Rafael A. Irizarry, Eric B. Laber, 2014 .

Bayesian methods for searching for optimal rules for timing intercourse to achieve pregnancy

Bruno Scarpa, David B Dunson, D. Dunson, 2007, Statistics in medicine.

Nonparametric Bayes multiresolution testing for high-dimensional rare events

D. Dunson, J. Datta, Sayantan Banerjee, 2023, 2308.03355.

Gaussian Process Subspace Regression for Model Reduction pdf

David Dunson, Simon Mak, Ruda Zhang, 2021, ArXiv.

Gaussian process models

D. Rubin, J. Carlin, A. Gelman, 2013 .

Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds

David B. Dunson, Lawrence Carin, John W. Paisley, 2010, IEEE Transactions on Signal Processing.

Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference

Debdeep Pati, David Dunson, Anirban Bhattacharya, 2020, AISTATS.

Bayesian Conditional Density Filtering for Big Data pdf

David B. Dunson, Shaan Qamar, Rajarshi Guhaniyogi, 2014, ArXiv.

Joint Analysis of Time-Evolving Binary Matrices and Associated Documents

David B. Dunson, Lawrence Carin, Eric Wang, 2010, NIPS.

Statistics in the big data era: Failures of the machine

David B. Dunson, D. Dunson, 2018 .

Scalable Approximations of Marginal Posteriors in Variable Selection

David B. Dunson, Galen Reeves, Willem van den Boom, 2015, 1506.06629.

Batch correction of high-dimensional data

D. Dunson, K. Wilhelmsen, D. Filer, 2019 .

Removing the influence of group variables in high‐dimensional predictive modelling

David B. Dunson, Kristian Lum, James E. Johndrow, 2018, Journal of the Royal Statistical Society. Series A,.

Bayesian hierarchically weighted finite mixture models for samples of distributions.

Abel Rodriguez, David B Dunson, Jack A. Taylor, 2008, Biostatistics.

Bag of DAGs: Flexible & Scalable Modeling of Spatiotem- poral Dependence

David B. Dunson, Michele Peruzzi, Bora Jin, 2021 .

Modelling multiple ovulation, fertilization, and embryo loss in human fertility studies.

D. Dunson, C. Weinberg, A. Wilcox, 2001, Biostatistics.

Semiparametric Bayes hierarchical models with mean and variance constraints

David B. Dunson, Mingan Yang, Donna D. Baird, 2010, Comput. Stat. Data Anal..

Spatial Multivariate Trees for Big Data Bayesian Regression

David B. Dunson, Michele Peruzzi, D. Dunson, 2020, J. Mach. Learn. Res..

Bayesian Higher Order Hidden Markov Models

David B. Dunson, Abhra Sarkar, D. Dunson, 2018, 1805.12201.

Bayesian Multi-Plate High-Throughput Screening of Compounds

David B. Dunson, Cliburn Chan, Ivo D. Shterev, 2017, Scientific Reports.

EMPIRICAL BAYES DENSITY REGRESSION

D. Dunson, 2007 .

Scalable geometric density estimation

David B. Dunson, Ye Wang, Antonio Canale, 2016, AISTATS.

Lognormal and Gamma Mixed Negative Binomial Regression

David B. Dunson, Lawrence Carin, Mingyuan Zhou, 2012, ICML.

Bayesian Inferences on Predictors of Day-Specific Conception Probabilities

D. Dunson, J. Stanford, 2003 .

Online Variational Bayes Inference for High-Dimensional Correlated Data

David B. Dunson, Jeffrey S. Morris, Sylvie (Tchumtchoua) Kabisa, 2011, 1108.1079.

Modeling of changes in tumor burden

David B. Dunson, D. Dunson, 2001 .

Nonparametric graphical model for counts

D. Dunson, Arkaprava Roy, 2019, Journal of machine learning research : JMLR.

Extrema‐weighted feature extraction for functional data

David B. Dunson, Willem van den Boom, Callie Mao, 2017, Bioinform..

Association of physical activity with development of uterine leiomyoma.

D. Dunson, D. Baird, M. Hill, 2007, American journal of epidemiology.

Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes

D. Dunson, Bora Jin, M. Peruzzi, 2021, 2112.11870.

Bayesian Data Analysis.

D. Dunson, H. Stern, A. Vehtari, 1996 .

Closer than they appear: A Bayesian perspective on individual‐level heterogeneity in risk assessment

David B. Dunson, Kristian Lum, James Johndrow, 2021, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Bayesian Factor Analysis for Inference on Interactions

D. Dunson, F. Ferrari, 2019, Journal of the American Statistical Association.

Bayesian modeling of nearly mutually orthogonal processes

D. Dunson, A. Herring, James Matuk, 2022, 2205.12361.

Density Estimation and Classification via Bayesian Nonparametric Learning of Affine Subspaces

Abhishek Bhattacharya, David Dunson, D. Dunson, 2011, 1105.5737.

No penalty no tears: Least squares in high-dimensional linear models

Xiangyu Wang, David B. Dunson, Chenlei Leng, 2015, ICML.

PERTURBED FACTOR ANALYSIS: ACCOUNTING FOR GROUP DIFFERENCES IN EXPOSURE PROFILES.

David B. Dunson, Arkaprava Roy, Amy H. Herring, 2020, The annals of applied statistics.

Estimating densities with non‐linear support by using Fisher–Gaussian kernels

Didong Li, Minerva Mukhopadhyay, David B Dunson, 2019, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Approximated Bayesian Inference for Massive Streaming Data

David B. Dunson, Rajarshi Guhaniyogi, D. Dunson, 2013 .

Bayesian nonparametric modelling of sequential discoveries

Tommaso Rigon, David Dunson, Otso Ovaskainen, 2020, 2011.06629.

Ellipsoid Fitting With the Cayley Transform

D. Dunson, Omar Melikechi, 2023, IEEE Transactions on Signal Processing.

Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data

Kelly R. Moran, D. Dunson, A. Herring, 2019, Journal of the Royal Statistical Society. Series C, Applied statistics.

Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting

D. Dunson, Lianming Wang, 2011, Biometrics.

Multiscale Dictionary Learning for Estimating Conditional Distributions

David B. Dunson, Joshua T. Vogelstein, Francesca Petralia, 2013, NIPS.

Improving Risk Assessment: Research Opportunities in Dose Response Modeling to Improve Risk Assessment

D. Dunson, D. Hattis, D. Krewski, 2002 .

Identifiable and interpretable nonparametric factor analysis

D. Dunson, Maoran Xu, Amy H. Herring, 2023, 2311.08254.

Sub-optimality of some continuous shrinkage priors

N. Pillai, D. Dunson, A. Bhattacharya, 2016, 1605.05671.

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors

L. Carin, D. Dunson, Piyush Rai, 2014, ICML.

Bayesian nonparametric regression with varying residual density

D. Dunson, D. Pati, 2013, Annals of the Institute of Statistical Mathematics.

APOE, Immune Factors, Sex, and Diet Interact to Shape Brain Networks in Mouse Models of Aging

D. Dunson, Ali Mahzarnia, Jessica T. Tremblay, 2023, bioRxiv.

Using prior information to boost power in correlation structure support recovery

David Dunson, Ziyang Ding, D. Dunson, 2021, 2111.11278.

Bayesian Logistic Gaussian Process Models for Dynamic Networks

Daniele Durante, David B. Dunson, D. Dunson, 2014, AISTATS.

Bayesian Conditional Density Filtering

David B. Dunson, Rajarshi Guhaniyogi, Shaan Qamar, 2014, Journal of Computational and Graphical Statistics.

Low-rank longitudinal factor regression

D. Dunson, Amy H. Herring, Glenn Palmer, 2023, 2311.16470.

Variable length trajectory compressible hybrid Monte Carlo

D. Dunson, A. Nishimura, 2016, 1604.00889.

Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph

David B. Dunson, Leo L. Duan, D. Dunson, 2021, 2106.16120.

Uterine Leiomyomata in Relation to Insulin-like Growth Factor-I, Insulin, and Diabetes

D. Dunson, D. Baird, S. London, 2009, Epidemiology.

Bayesian Watermark Attacks pdf

David B. Dunson, Ivo D. Shterev, Ivo Shterev, 2012, ICML.

Bayesian Distance Clustering

D. Dunson, L. Duan, 2018, J. Mach. Learn. Res..

Modeling Tumor Onset and Multiplicity Using Transition Models with Latent Variables

D B Dunson, J K Haseman, D. Dunson, 1999, Biometrics.

Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach

David B. Dunson, Fangjian Guo, D. Dunson, 2015, RecSys.

Bayesian methods for latent trait modelling of longitudinal data

David B Dunson, D. Dunson, 2007, Statistical methods in medical research.

Rejoinder to "Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit‐Specific Outcomes"

D. Dunson, Zhen Chen, 2005 .

Bayesian hierarchically weighted finite mixture models for samples of distributions.

Jack A. Taylor, D. Dunson, Abel Rodríguez, 2008, Biostatistics.

Latent Stick-Breaking Processes

A. Gelfand, D. Dunson, Abel Rodríguez, 2010, Journal of the American Statistical Association.

Stochastic Lipschitz Q-Learning pdf

David B. Dunson, Xu Zhu, D. Dunson, 2019, ArXiv.

Nonparametric Bayes modelling of count processes

David B. Dunson, Antonio Canale, D. Dunson, 2013, 1307.2822.

Bayesian Nonparametrics: Nonparametric Bayes applications to biostatistics

D. Dunson, 2010 .

Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors

D. Dunson, T. Rigon, Alessandro Zito, 2023, 2306.02360.

Bayesian Clustering via Fusing of Localized Densities

D. Dunson, Alexander Dombowsky, 2023, 2304.00074.

Bayesian Data Analysis

W. J. Thompson, T. C. Black, D. Rubin, 2024, The SAGE Encyclopedia of Research Design.

Bayesian learning of joint distributions of objects

David B. Dunson, Anjishnu Banerjee, Jared Murray, 2013, AISTATS.

Batch correction of high-dimensional data

David B. Dunson, Emanuele Aliverti, Kirk C. Wilhelmsen, 2019 .

Bayesian Functional Principal Components Analysis using Relaxed Mutually Orthogonal Processes

D. Dunson, A. Herring, James Matuk, 2022 .

Tree-Structured Infinite Sparse Factor Model

David B. Dunson, Lawrence Carin, XianXing Zhang, 2011, ICML.

Topic Modeling with Nonparametric Markov Tree

David B. Dunson, Lawrence Carin, Haojun Chen, 2011, ICML.

The matrix stick-breaking process for flexible multi-task learning

David B. Dunson, Lawrence Carin, Ya Xue, 2007, ICML '07.

Bayesian Closed Surface Fitting Through Tensor Products

David B. Dunson, Debdeep Pati, Olivier Binette, 2020, J. Mach. Learn. Res..

Two-sample testing with Dirichlet mixtures

David B. Dunson, Eric F. Lock, D. Dunson, 2013 .

Benchmark pregnancy rates and the assessment of post-coital contraceptives: an update.

D. Dunson, A. Wilcox, Daniel Li, 2015, Contraception.

Incorporating heterogeneous intercourse records into time to pregnancy models

David B. Dunson, D. Dunson, 2003 .

Constrained inference through posterior projections

D. Dunson, Deborshee Sen, S. Patra, 2018, 1812.05741.

Simplex Factor Models for Multivariate Unordered Categorical Data

D. Dunson, A. Bhattacharya, 2012, Journal of the American Statistical Association.