7 citations · 14 across the 4 of their papers we have counts for
5 papers
Spatial deformation in a Bayesian spatiotemporal model for incomplete matrix-variate responses
Rodrigo de Souza Bulhões, Marina Silva Paez, Dani Gamerman
In this paper, we propose a Bayesian matrix-variate spatiotemporal modeling framework for jointly analyzing multiple response variables observed at spatial locations over time. The…
Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs, Arash A. Amini, Marina Paez +1
We introduce the nested stochastic block model (NSBM) to cluster a collection of networks while simultaneously detecting communities within each network. NSBM has several appealing…
Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks
Arash A. Amini, Marina S. Paez, Lizhen Lin
Multiplex networks have become increasingly more prevalent in many fields, and have emerged as a powerful tool for modeling the complexity of real networks. There is a critical nee…
Exact slice sampler for Hierarchical Dirichlet Processes
Arash A. Amini, Marina Paez, Lizhen Lin +1
We propose an exact slice sampler for Hierarchical Dirichlet process (HDP) and its associated mixture models (Teh et al., 2006). Although there are existing MCMC algorithms for sam…
Modeling with a Large Class of Unimodal Multivariate Distributions
Marina S. Paez, Stephen G. Walker
In this paper we introduce a new class of multivariate unimodal distributions, motivated by Khintchine's representation. We start by proposing a univariate model, whose support cov…