6 citations · 13 across the 10 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
stat.ME2019
Bayesian Group Selection in Logistic Regression with Application to MRI Data Analysis
Kyoungjae Lee, Xuan Cao
We consider Bayesian logistic regression models with group-structured covariates. In high-dimensional settings, it is often assumed that only small portion of groups are significan…
math.ST2019★ 1 cited
Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG Models with Multiplicative and Beta-mixture Priors
Xuan Cao, Kshitij Khare, Malay Ghosh
Estimation of the covariance matrix for high-dimensional multivariate datasets is a challenging and important problem in modern statistics. In this paper, we focus on high-dimensio…
stat.ME2019
A permutation-based Bayesian approach for inverse covariance estimation
Xuan Cao, Shaojun Zhang
Covariance estimation and selection for multivariate datasets in a high-dimensional regime is a fundamental problem in modern statistics. Gaussian graphical models are a popular cl…