Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data-Reference-Cited by-同舟云学术

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Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data

Published:2023-09-06 Issue: Volume: Page:1-15
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Niu Yabo¹^ORCID,Ni Yang²^ORCID,Pati Debdeep²,Mallick Bani K.²

Affiliation:

1. Department of Mathematics, University of Houston, Houston, TX

2. Department of Statistics, Texas A&M University, College Station, TX

Funder

NSF

NIH

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2233744

Reference89 articles.

1. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems

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

3. Atchade, Y. (2015), “A Scalable Quasi-Bayesian Framework for Gaussian Graphical Models,” arXiv preprint arXiv:1512.07934.

4. Quasi-Bayesian estimation of large Gaussian graphical models

5. High-dimensional Ising model selection with Bayesian information criteria

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1. Estimation of multiple networks with common structures in heterogeneous subgroups;Journal of Multivariate Analysis;2024-07

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