Joint Estimation of the Two-Level Gaussian Graphical Models Across Multiple Classes-Reference-Cited by-同舟云学术

Joint Estimation of the Two-Level Gaussian Graphical Models Across Multiple Classes

Published:2020-01-01 Issue:3 Volume:29 Page:562-579
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Shan Liang¹,Qiao Zhilei²,Cheng Lulu³,Kim Inyoung⁴

Affiliation:

1. Division of Preventive Medicine, Department of Medicine, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL;

2. Department of Management, Information Systems & Quantitative Methods (MISQ), Collat School of Business, The University of Alabama at Birmingham, Birmingham, AL;

3. Biostatistics Department, Incyte Corporation, Wilmington, DE;

4. Department of Statistics, Virginia Tech., Blacksburg, VA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2019.1694522

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1. Emergence of Scaling in Random Networks

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4. PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia

5. Multilevel Gaussian graphical model for multilevel networks

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