Directed Cyclic Graph

Federated Learning for Sparse Bayesian Models with Applications to Electronic Health Records and Genomics

Bayesian federated learning.

Causal Discovery with Heterogeneous Observational Data

Discover causality from heterogeneous continuous observational data with directed cyclic graphs.

Heterogeneous Reciprocal Graphical Models

A hierarchical reciprocal graphical models to infer gene networks from heterogeneous data with or without known groups.

Reciprocal Graphical Models for Integrative Gene Regulatory Network Analysis

A Gaussian reciprocal graphical model for inference about gene regulatory relationships by integrating mRNA gene expression and DNA level information including copy number and methylation.