[go: up one dir, main page]

Skip to content

Codes for the ICML 2019 paper "Bayesian Joint Spike-and-Slab Graphical Lasso"

Notifications You must be signed in to change notification settings

richardli/SSJGL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

SSJGL

Replication codes for the paper

Zehang Richard Li, Tyler H. McCormick, and Samuel J. Clark. "Bayesian joint spike-and-slab graphical lasso", International Conference on Machine Learning, 2019

In this repo

  • Examples/ folder contains the codes to run the three examples in the paper, and one iteration of simulation.
  • R/ folder contains the source codes.

Acknowledgement

The code to implement GGL and FGL are adapted from the R package JGL by Patrick Danaher.

About

Codes for the ICML 2019 paper "Bayesian Joint Spike-and-Slab Graphical Lasso"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages