1 code implementation • 18 May 2018 • Zehang Richard Li, Tyler H. McCormick, Samuel J. Clark
In this article, we propose a new class of priors for Bayesian inference with multiple Gaussian graphical models.
1 code implementation • 2 Nov 2017 • Zehang Richard Li, Tyler H. McCormick, Samuel J. Clark
Learning dependence relationships among variables of mixed types provides insights in a variety of scientific settings and is a well-studied problem in statistics.
Applications
1 code implementation • 20 Sep 2017 • Zehang Richard Li, Tyler H. McCormick
Bayesian graphical models are a useful tool for understanding dependence relationships among many variables, particularly in situations with external prior information.