Learning Block Structured Graphs in Gaussian Graphical Models-Reference-Cited by-同舟云学术

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Learning Block Structured Graphs in Gaussian Graphical Models

Published:2023-06-15 Issue: Volume: Page:1-14
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Colombi Alessandro¹^ORCID,Argiento Raffaele²^ORCID,Paci Lucia³,Pini Alessia³^ORCID

Affiliation:

1. Department of Economics, Management and Statistics, Università degli studi di Milano-Bicocca, Milano, Italy

2. Department of Economics, Università degli studi di Bergamo, Bergamo, Italy

3. Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy

Funder

Università Cattolica del Sacro Cuore

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2023.2210184

Reference48 articles.

1. Inferring sparse Gaussian graphical models with latent structure

2. A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models

3. Optimal predictive model selection

4. Bayesian learning of multiple directed networks from observational data

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