7 citations · 22 across the 13 of their papers we have counts for
5 papers · 1 filter
Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data
Fangting Zhou, Kejun He, Kunbo Wang +2
Multivariate functional data arise in a wide range of applications. One fundamental task is to understand the causal relationships among these functional objects of interest, which…
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…
Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions
Fangzheng Xie, Yanxun Xu, Carey E. Priebe +1
We propose a Bayesian methodology for estimating spiked covariance matrices with jointly sparse structure in high dimensions. The spiked covariance matrix is reparametrized in term…
Bayesian Projected Calibration of Computer Models
Fangzheng Xie, Yanxun Xu
We develop a Bayesian approach called Bayesian projected calibration to address the problem of calibrating an imperfect computer model using observational data from a complex physi…
Bayesian Repulsive Gaussian Mixture Model
Fangzheng Xie, Yanxun Xu
We develop a general class of Bayesian repulsive Gaussian mixture models that encourage well-separated clusters, aiming at reducing potentially redundant components produced by ind…