5 papers · 1 filter
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…
Decision Theoretic Subgroup Detection With Bayesian Machine Learning
Entejar Alam, Poorbita Kundu, Antonio R. Linero
We consider the problem of identifying promising subpopulations in terms of treatment effectiveness or treatment effect heterogeneity, from a Bayesian decision theoretic perspectiv…
DPGLM: A Semiparametric Bayesian GLM with Inhomogeneous Normalized Random Measures
Entejar Alam, Paul J. Rathouz, Peter Mueller
We introduce a novel varying-weight dependent Dirichlet process (DDP) model that extends a recently developed semi-parametric generalized linear model (SPGLM) by adding a nonparame…
A Unified Bayesian Nonparametric Framework for Ordinal, Survival, and Density Regression Using the Complementary Log-Log Link
Entejar Alam, Antonio R. Linero
In this work, we develop applications of the complementary log-log (cloglog) link to problems in Bayesian nonparametrics. Although less commonly used than the probit or logit links…
Dir-SPGLM: A Bayesian semiparametric GLM with data-driven reference distribution
Entejar Alam, Peter Müller, Paul J. Rathouz
The recently developed semi-parametric generalized linear model (SPGLM) offers more flexibility as compared to the classical GLM by including the baseline or reference distribution…