Joint Gaussian graphical model estimation: A survey-Reference-Cited by-同舟云学术

Joint Gaussian graphical model estimation: A survey

Published:2022-04-06 Issue:6 Volume:14 Page:
ISSN:1939-5108
Container-title:WIREs Computational Statistics
language:en
Short-container-title:WIREs Computational Stats

Author:

Tsai Katherine¹^ORCID,Koyejo Oluwasanmi²^ORCID,Kolar Mladen³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering University of Illinois at Urbana‐Champaign Chicago Illinois USA

2. Department of Computer Science University of Illinois at Urbana‐Champaign Chicago Illinois USA

3. The University of Chicago Booth School of Business Chicago Illinois USA

Funder

Division of Information and Intelligent Systems

Publisher

Wiley

Subject

Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1582

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4. Rocket: Robust confidence intervals via kendall's tau for transelliptical graphical models;Barber R. F.;The Annals of Statistics,2018

5. Belilovsky E. Varoquaux G. &Blaschko M. B.(2016).Testing for differences in Gaussian graphical models: Applications to brain connectivity. In Advances in neural information processing systems volume 29 pp.595–603.

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