Thresholding Prior

Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior

Nonlinear tensor regression.

Individualized Inference in Bayesian Quantile Directed Acyclic Graphical Models

Graphical Dirichlet process.

Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure

A new Gaussian graphical model that produces subject-specific and predictive graphs with theoretical guarantee.

Bayesian Hierarchical Quantile Regression with Application to Characterizing the Immune Architecture of Lung Cancer

The successful development and implementation of precision immuno-oncology therapies requires a deeper understanding of the immune architecture at a patient level. T-cell Receptor (TCR) repertoire sequencing is a relatively new technology that …

Bayesian Hierarchical Varying-sparsity Model with Application to Cancer Proteogenomics

A Bayesian hierarchical varying-sparsity regression (BEHAVIOR) model that selects clinically relevant disease markers by integrating proteogenomic and clinical data.

Bayesian Graphical Regression

A new directed acyclic graphical model that produces subject-specific and predictive graphs with theoretical guarantee.

Heterogeneous Reciprocal Graphical Models

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