Bala Rajaratnam

Scalable Bayesian shrinkage and uncertainty quantification for high-dimensional regression

2015 · arXiv (Cornell University)

Bayesian shrinkage methods have generated a lot of recent interest as tools for high-dimensional regression and model selection. These methods naturally facilitate tractable uncertainty quantification and incorporation of prior information. This benefit has led to …