94 citations · 124 across the 7 of their papers we have counts for
6 papers · 1 filter
A Semiparametric Bayesian Generalized Linear Mixed Model with a Nonparametric Count Distribution for Seizure Data
Entejar Alam, Elizabeth Juarez-Colunga, Marco I. González +1
Functional count data arise when recurrent events are recorded repeatedly over time and scientific interest centers on how event rates evolve over time and across experimental cond…
A Bayesian Copula Dirichlet Process GLM for Longitudinal Data
Shijie Yuan, Entejar Alam, Asmit Chakraborty +3
We introduce a semiparametric Bayesian generalized linear model (GLM) for longitudinal continuous outcomes that preserves the usual interpretation of the GLM regression structure w…
A Multivariate Polya Tree Model for Meta-Analysis with Event Time Distributions
Giovanni Poli, Elena Fountzilas, Apostolia-Maria Tsimeridou +1
We develop a non-parametric Bayesian prior for a family of random probability measures by extending the Polya tree () prior to a joint prior for a set of probability measures $…
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning
Mauricio Tec, Yunshan Duan, Peter Müller
Reinforcement Learning (RL) is a computational approach to reward-driven learning in sequential decision problems. It implements the discovery of optimal actions by learning from a…
Reciprocal Graphical Models for Integrative Gene Regulatory Network Analysis
Yang Ni, Yuan Ji, Peter Mueller
Constructing gene regulatory networks is a fundamental task in systems biology. We introduce a Gaussian reciprocal graphical model for inference about gene regulatory relationships…
Bayesian Inference for Latent Biologic Structure with Determinantal Point Processes (DPP)
Yanxun Xu, Peter Mueller, Donatello Telesca
We discuss the use of the determinantal point process (DPP) as a prior for latent structure in biomedical applications, where inference often centers on the interpretation of laten…