5 papers · 1 filter
High Dimensional Bayesian Network Classification with Network Global-Local Shrinkage Priors
Sharmistha Guha, Abel Rodriguez
This article proposes a novel Bayesian classification framework for networks with labeled nodes. While literature on statistical modeling of network data typically involves analysi…
A Bayesian Approach to Spherical Factor Analysis for Binary Data
Xingchen Yu, Abel Rodriguez
Factor models are widely used across diverse areas of application for purposes that include dimensionality reduction, covariance estimation, and feature engineering. Traditional fa…
Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Sharmistha Guha, Abel Rodriguez
This article proposes a Bayesian approach to regression with a continuous scalar response and an undirected network predictor. Undirected network predictors are often expressed in…
Stochastic blockmodels for exchangeable collections of networks
Perla Reyes, Abel Rodriguez
We construct a novel class of stochastic blockmodels using Bayesian nonparametric mixtures. These model allows us to jointly estimate the structure of multiple networks and explici…
Default Bayesian Analysis for the Multivariate Ewens Distribution
Abel Rodriguez
We derive the Jeffreys prior for the parameter of the Multivariate Ewens Distribution and study some of its properties. In particular, we show that this prior is proper and has no…