12 citations · 27 across the 4 of their papers we have counts for
4 papers
Coupled Compound Poisson Factorization
Mehmet E. Basbug, Barbara E. Engelhardt
We present a general framework, the coupled compound Poisson factorization (CCPF), to capture the missing-data mechanism in extremely sparse data sets by coupling a hierarchical Po…
A Divide and Conquer Strategy for High Dimensional Bayesian Factor Models
Gautam Sabnis, Debdeep Pati, Barbara Engelhardt +1
We propose a distributed computing framework, based on a divide and conquer strategy and hierarchical modeling, to accelerate posterior inference for high-dimensional Bayesian fact…
Differential gene co-expression networks via Bayesian biclustering models
Chuan Gao, Shiwen Zhao, Ian C. McDowell +2
Identifying latent structure in large data matrices is essential for exploring biological processes. Here, we consider recovering gene co-expression networks from gene expression d…
Bayesian Structured Sparsity from Gaussian Fields
Barbara E. Engelhardt, Ryan P. Adams
Substantial research on structured sparsity has contributed to analysis of many different applications. However, there have been few Bayesian procedures among this work. Here, we d…