David B. Dunson

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.

The Kernel Beta Process

David B. Dunson, Yingjian Wang, Lu Ren, 2011, NIPS.

Batch correction of high-dimensional data

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

A generalized Bayes framework for probabilistic clustering

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

Bayesian Watermark Attacks pdf

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

Dependent Hierarchical Beta Process for Image Interpolation and Denoising

David B. Dunson, Guillermo Sapiro, Hongxia Yang, 2011, AISTATS.

Distributed Bayesian clustering using finite mixture of mixtures

David B. Dunson, Yingjian Wang, Hanyu Song, 2020 .

Bayesian matrix completion for hypothesis testing.

David B. Dunson, David M. Reif, Amy H. Herring, 2020, Journal of the Royal Statistical Society. Series C, Applied statistics.

Bayesian Nonparametrics: Nonparametric Bayes applications to biostatistics

David B. Dunson, D. Dunson, 2010 .

Bayesian Data Analysis

David B. Dunson, Aki Vehtari, Hal S. Stern, 2010 .

Bayesian Structural Equation Modeling

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

Classification Trees for Imbalanced and Sparse Data: Surface-to-Volume Regularization

David B. Dunson, Yichen Zhu, 2020 .

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

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

Composite mixture of log-linear models for categorical data

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

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.

Parallelizing MCMC with Random Partition Trees

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

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

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

Introduction to multiparameter models

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

Adaptive sampling for Bayesian geospatial models

David B. Dunson, Hongxia Yang, Chunlin Ji, 2014, Stat. Comput..

Scalable geometric density estimation

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

Bayesian Compressed Regression

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

Hierarchical kernel stick-breaking process for multi-task image analysis

David B. Dunson, Lawrence Carin, Qi An, 2008, ICML '08.

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

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

Learning Low-Dimensional Signal Models

Volkan Cevher, David B. Dunson, Guillermo Sapiro, 2011, IEEE Signal Processing Magazine.

Data augmentation for models based on rejection sampling

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

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.

Nonparametric Bayes classification and hypothesis testing on manifolds

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

Locally adaptive Bayesian covariance regression

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

Bayesian Logistic Gaussian Process Models for Dynamic Networks

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

Bayesian Graphical Models for Multivariate Functional Data

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

Gaussian process models

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

Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach

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

Basics of Markov chain simulation

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

Multi-task compressive sensing with Dirichlet process priors

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

Parallel MCMC via Weierstrass Sampler pdf

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

Semiconvex Regression for Metamodeling-Based Optimization

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

A Bayesian nonparametric model for count functional data

David B. Dunson, Antonio Canale, 2012 .

Active Learning of Cortical Connectivity from Two-Photon Imaging Data

David B. Dunson, Ye Wang, Guillermo Sapiro, 2018 .

Classification with Incomplete Data Using Dirichlet Process Priors

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

Corrections to “Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds” [Dec 10 6140-6155]

David B. Dunson, Lawrence Carin, John W. Paisley, 2011, IEEE Transactions on Signal Processing.

Bayesian inference on group differences in brain networks

Daniele Durante, David B. Dunson, 2014 .

Logistic Stick-Breaking Process

David B. Dunson, Lu Ren, Lawrence Carin, 2011, J. Mach. Learn. Res..

Topic Modeling with Nonparametric Markov Tree

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

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).

Efficient Entropy Estimation for Stationary Time Series pdf

David B. Dunson, Alexander L. Young, 2019, ArXiv.

Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process

David B. Dunson, Ye Wang, 2015, NIPS.

Lipschitz Bandit Optimization with Improved Efficiency pdf

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

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..

Bayesian inference for Mat´ ern repulsive processes

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

Bayesian monotone regression using Gaussian process projection

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

Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks pdf

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

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

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

Xiangyu Wang, David B. Dunson, Chenlei Leng, 2016, NIPS.

Multiscale Dictionary Learning for Estimating Conditional Distributions

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

Two-sample testing with Dirichlet mixtures

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

Supervised Coarse-Graining of Composite Objects

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

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

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

Inferring taxonomic placement from DNA barcoding allowing discovery of new taxa

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

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).

Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data

David B. Dunson, Gongjun Xu, Elena A. Erosheva, 2021 .

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

David B. Dunson, Otso Ovaskainen, Georgia Papadogeorgou, 2021 .

Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph

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

Generalized infinite factorization models

David B. Dunson, Antonio Canale, Lorenzo Schiavon, 2021 .

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

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

Bayesian joint modeling of chemical structure and dose response curves

David B. Dunson, Kelly R. Moran, Matthew W. Wheeler, 2021, The Annals of Applied Statistics.

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

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

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 Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data

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

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

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

PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits

David B. Dunson, Meng Li, Rongjie Liu, 2021 .

Spatial meshing for general Bayesian multivariate models

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

Curved factor analysis with the Ellipsoid-Gaussian distribution

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

Path Following and Empirical Bayes Model Selection for Sparse Regression

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

A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice

David B. Dunson, Abhra Sarkar, Simon E. Fisher, 2016, Front. Behav. Neurosci..

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.

Random orthogonal matrices and the Cayley transform

David B. Dunson, Peter D. Hoff, Michael Jauch, 2018, Bernoulli.

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 .

Perturbed factor analysis: Improving generalizability across studies

David B. Dunson, Arkaprava Roy, Amy H. Herring, 2019 .

Bayesian Modular and Multiscale Regression

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

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

David B. Dunson, D. Dunson, 2000 .

Estimation of order-restricted means from correlated data

David B. Dunson, Shyamal D. Peddada, D. Dunson, 2005 .

Approximated Bayesian Inference for Massive Streaming Data

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

Bayesian inference on the Stiefel manifold

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

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

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

Bayesian Higher Order Hidden Markov Models

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

Mechanistic Hierarchical Gaussian Processes

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

The Multiple Bayesian Elastic Net

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

Bayesian nonparametric inference on the Stiefel manifold

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

Latent Stick-Breaking Processes

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

A Foxp2 Mutation Implicated in Human Speech Deficits Alters Sequencing of Ultrasonic Vocalizations in Adult Male Mice

David B. Dunson, Abhra Sarkar, Simon E. Fisher, 2016, Front. Behav. Neurosci..

Posterior convergence rates in non-linear latent variable models

David B. Dunson, Debdeep Pati, Anirban Bhattacharya, 2011, 1109.5000.

Bayesian inference on quasi-sparse count data

David B. Dunson, Jyotishka Datta, 2016, Biometrika.

Studying Human Fertility: Response to Slama et al. and Joffe et al.

David B. Dunson, Joseph B. Stanford, Candace Tingen, 2004, Environmental Health Perspectives.

Sequential Markov Chain Monte Carlo

David B. Dunson, Yun Yang, 2013 .

Minimax Optimal Bayesian Aggregation

David B. Dunson, Yun Yang, 2014 .

Locally Adaptive Dynamic Networks

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

Nonparametric Bayes modelling of count processes

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

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

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

A framework for probabilistic inferences from imperfect models

David B. Dunson, Meng Li, 2016 .

Latent factor models for density estimation

David B. Dunson, Suprateek Kundu, D. Dunson, 2011, 1108.2720.

Bayesian Model Selection and Averaging in Additive and Proportional Hazards Models

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

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 .

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

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

Scalable Approximations of Marginal Posteriors in Variable Selection

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

Bayesian Semiparametric Joint Models for Functional Predictors

David B. Dunson, D. Dunson, J. Bigelow, 2009, Journal of the American Statistical Association.

NONPARAMETRIC BAYES KERNEL-BASED PRIORS FOR FUNCTIONAL DATA ANALYSIS

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

Common and Individual Structure of Multiple Networks

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

Some Issues in Assessing Human Fertility

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

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.

Models for missing data

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

Bayesian Methods for Highly Correlated Exposure Data

David B. Dunson, Richard F. MacLehose, Amy H. Herring, 2007, Epidemiology.

Posterior consistency in linear models under shrinkage priors

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

Bayesian dynamic financial networks with time-varying predictors

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

Statistics in the big data era: Failures of the machine

David B. Dunson, D. Dunson, 2018 .

Efficient Bayesian Model Averaging in Factor Analysis

David B. Dunson, D. Dunson, 2006 .

Expandable factor analysis

David B. Dunson, Barbara E. Engelhardt, Sanvesh Srivastava, 2014, Biometrika.

Semiparametric Bernstein-von Mises Theorem: Second Order Studies

David B. Dunson, Guang Cheng, Yun Yang, 2015, 1503.04493.

Bayesian Nonparametric Higher Order Hidden Markov Models

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

Semiparametric classification in hierarchical functional data analysis

David B. Dunson, Biostatistics Branch, D. Dunson, 2005 .

Extrinsic Local Regression on Manifold-Valued Data

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

Bayesian incidence analysis of animal tumorigenicity data

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