Project 1. Testing-driven Variable Selection in Bayesian Modal Regression
This project proposed a Bayesian parametric modal regression framework to perform variable selection for heavy-tailed and skewed response data.
Projects
Project 2. Undirected network estimation beyond Gaussianity
This project proposed a method for estimating undirected network for non-gaussian data.
Project 3. Network differentiation for non-Gaussian data
This project proposed a method for network differentiation under non-Gaussian data distributions.