Skip to content

Zhang-Data-Science-Research-Lab/LoALDIG

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

LoALDIG

Code for the proposed LoALDIG (Local Approximate Likelihood Data Integration) method in the paper entitled "Structural inference of time-varying mixed graphical models" authored by Qingyang Liu, Yuping Zhang and Zhengqing Ouyang.

License: GPL-2.

Correspondence: Yuping Zhang, Email: [email protected].

local_tvgm.m: get the local graph structure at a give time point.

refit.m: given a graph structure, refit model to reduce over-shrinkage.

cv.m: cross-validation to select hyperparameters.

sampling.m: simulate synthetic data through Gibbs sampling.

example.m: an example to demonstrate the usage of our code.

Reference: Liu, Q., Zhang, Y. and Ouyang, Z., 2021. Structural inference of time‐varying mixed graphical models. Stat, 10(1), p.e414.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages