3 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
Bayesian Covariate-Dependent Quantile Directed Acyclic Graphical Models for Individualized Inference
Ksheera Sagar, Yang Ni, Veerabhadran Baladandayuthapani +1
We propose an approach termed ``qDAGx'' for Bayesian covariate-dependent quantile directed acyclic graphs (DAGs) where these DAGs are individualized, in the sense that they depend…
A Laplace Mixture Representation of the Horseshoe and Some Implications
Ksheera Sagar, Anindya Bhadra
The horseshoe prior, defined as a half Cauchy scale mixture of normal, provides a state of the art approach to Bayesian sparse signal recovery. We provide a new representation of t…
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix
Anindya Bhadra, Ksheera Sagar, David Rowe +2
Marginal likelihood, also known as model evidence, is a fundamental quantity in Bayesian statistics. It is used for model selection using Bayes factors or for empirical Bayes tunin…