3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.ME2020
Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Yabo Niu, Nilabja Guha, Debkumar De +3
Gaussian graphical models (GGMs) are well-established tools for probabilistic exploration of dependence structures using precision matrices. We develop a Bayesian method to incorpo…
math.ST2019★ 3 cited
Bayesian Graph Selection Consistency Under Model Misspecification
Yabo Niu, Debdeep Pati, Bani Mallick
Gaussian graphical models are a popular tool to learn the dependence structure in the form of a graph among variables of interest. Bayesian methods have gained in popularity in the…