Variable Selection

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 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 …

Sparse Semiparametric Discriminant Analysis for High-Dimensional Zero-Inflated Data

Discriminant analysis for zero-inflated data.

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 Nonlinear Model Selection for Gene Regulatory Networks

A Bayesian directed acyclic graphical model to recover the structure of nonlinear gene regulatory networks.