David B Dunson

发表

Nonparametric Bayes Stochastically Ordered Latent Class Models

Hongxia Yang, Sean O'Brien, David B Dunson, 2011, Journal of the American Statistical Association.

Nonparametric Bayes modeling for case control studies with many predictors

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

Nonparametric Bayesian models through probit stick-breaking processes.

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

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.

Fast Bayesian Inference in Dirichlet Process Mixture Models

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 Inferences on Predictors of Conception Probabilities

David B Dunson, Joseph B Stanford, D. Dunson, 2005, Biometrics.

Bayesian Adaptive Regression Splines for Hierarchical Data

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

GENERALIZED DOUBLE PARETO SHRINKAGE.

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

Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes

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

Bayesian Factor Analysis for Inference on Interactions

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

Bayesian methods for latent trait modelling of longitudinal data

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

Bayesian constraint relaxation.

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

Bayesian Modeling of Temporal Dependence in Large Sparse Contingency Tables

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

Diffusion Based Gaussian Processes on Restricted Domains

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

Inferring Manifolds From Noisy Data Using Gaussian Processes pdf

David B Dunson, Nan Wu, 2021, ArXiv.

Effects of sexual intercourse patterns in time to pregnancy studies.

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

Bayesian Semiparametric Multiple Shrinkage

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

TENSOR DECOMPOSITIONS AND SPARSE LOG-LINEAR MODELS.

David B Dunson, Anirban Bhattacharya, James E Johndrow, 2014, Annals of statistics.

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.

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 .

Bayesian Inference on Order‐Constrained Parameters in Generalized Linear Models

Brian Neelon, David B Dunson, D. Dunson, 2003, Biometrics.

Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data

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

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

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

Bayesian hierarchically weighted finite mixture models for samples of distributions.

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

Selecting factors predictive of heterogeneity in multivariate event time data.

David B Dunson, Zhen Chen, 2004, Biometrics.

Bayesian Latent Factor Regression for Functional and Longitudinal Data

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

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.

Fitting Semiparametric Random Effects Models to Large Data Sets

David B Dunson, Michael L Pennell, D. Dunson, 2022 .

Semiparametric Bayes Multiple Testing: Applications to Tumor Data

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

Bayesian Modeling of Time‐Varying and Waning Exposure Effects

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

A Bayesian Approach for Joint Modeling of Cluster Size and Subunit‐Specific Outcomes

David B Dunson, Zhen Chen, D. Dunson, 2003, Biometrics.

Bayesian Kernel Mixtures for Counts

Antonio Canale, David B Dunson, D. Dunson, 2011, Journal of the American Statistical Association.

Bayesian Models for Multivariate Current Status Data with Informative Censoring

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

Bayesian Multiscale Modeling of Closed Curves in Point Clouds

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

Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors

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

Diffusion based Gaussian process regression via heat kernel reconstruction

Hau-Tieng Wu, David B Dunson, Nan Wu, 2019 .

Bayes Variable Selection in Semiparametric Linear Models

Suprateek Kundu, David B Dunson, D. Dunson, 2011, Journal of the American Statistical Association.

Bayesian Isotonic Regression and Trend Analysis

Brian Neelon, David B Dunson, D. Dunson, 2004, Biometrics.

Dynamic model for multivariate markers of fecundability.

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

Enriched Stick-Breaking Processes for Functional Data

Bruno Scarpa, David B Dunson, D. Dunson, 2014, 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.

Bayesian nonparametric regression with varying residual density

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

Bayesian Estimation of Survival Functions under Stochastic Precedence

David B Dunson, Zhen Chen, 2004, Lifetime data analysis.

A transformation approach for incorporating monotone or unimodal constraints.

David B Dunson, D. Dunson, L. Gunn, 2005, Biostatistics.

Bayesian nonparametric hierarchical modeling.

David B Dunson, D. Dunson, 2009, Biometrical journal. Biometrische Zeitschrift.

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

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

Bayesian Inferences in the Cox Model for Order‐Restricted Hypotheses

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

Semiparametric bayes' proportional odds models for current status data with underreporting.

David B Dunson, D. Dunson, Lianming Wang, 2011, Biometrics.