Lost in Regularization: Bayesian Regularized Regression with Change-points

• In Event: Advances in Regularization and Model Selection

Brief Overview

In this paper, we present the hidden Markov Bayesian bridge model (HMBB) that allows both regularization and estimation of breaks in high dimensional regression analysis.

Authors

• Jong Hee Park, Seoul National University

• Soichiro Yamauchi, Harvard University