3 papers
stat.ME2025
Bayesian Causal Discovery with Cycles and Latent Confounders
Wei Jin, Lang Lang, Amanda B. Spence +2
Learning causality from observational data has received increasing interest across various scientific fields. However, most existing methods assume the absence of latent confounder…
stat.ME2020
A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV
Wei Jin, Yang Ni, Leah H. Rubin +2
Although combination antiretroviral therapy (ART) is highly effective in suppressing viral load for people with HIV (PWH), many ART agents may exacerbate central nervous system (CN…
math.ST2017
A Theoretical Framework for Bayesian Nonparametric Regression
Fangzheng Xie, Wei Jin, Yanxun Xu
We develop a unifying framework for Bayesian nonparametric regression to study the rates of contraction with respect to the integrated -distance without assuming the regressio…