13 citations · 19 across the 7 of their papers we have counts for
7 papers
Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection
Giovanni Toto, Peter Müller, Abhra Sarkar
We propose a flexible Bayesian approach for estimating the joint density of a multivariate outcome of interest in the presence of categorical covariates. Leveraging a Gaussian copu…
Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials
Noirrit Kiran Chandra, Abhra Sarkar, John F. de Groot +2
The availability of electronic health records (EHR) has opened opportunities to supplement increasingly expensive and difficult to carry out randomized controlled trials (RCT) with…
Bayesian Semiparametric Hidden Markov Tensor Partition Models for Longitudinal Data with Local Variable Selection
Giorgio Paulon, Peter Müller, Abhra Sarkar
We present a flexible Bayesian semiparametric mixed model for longitudinal data analysis in the presence of potentially high-dimensional categorical covariates. Building on a novel…
Bayesian Nonparametric Bivariate Survival Regression for Current Status Data
Giorgio Paulon, Peter Müller, Victor G. Sal Y Rosas
We consider nonparametric inference for event time distributions based on current status data. We show that in this scenario conventional mixture priors, including the popular Diri…
A Bayesian Nonparametric Approach for Evaluating the Causal Effect of Treatment in Randomized Trials with Semi-Competing Risks
Yanxun Xu, Daniel Scharfstein, Peter Müller +1
We develop a Bayesian nonparametric (BNP) approach to evaluate the causal effect of treatment in a randomized trial where a nonterminal event may be censored by a terminal event, b…
Scalable Bayesian Nonparametric Clustering and Classification
Yang Ni, Peter Müller, Maurice Diesendruck +3
We develop a scalable multi-step Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification. Each step is "embarrass…
A Bayesian semi-parametric model for small area estimation
Donald Malec, Peter Müller
In public health management there is a need to produce subnational estimates of health outcomes. Often, however, funds are not available to collect samples large enough to produce…