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Citations (10)
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Yongxin Kuang & Junshan Xie. (2023) Distributed testing on mutual independence of massive multivariate data. Communications in Statistics - Theory and Methods 52:15, pages 5332-5348.
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Wei Dai, Taizhong Hu, Baisuo Jin & Xiaoping Shi. (2022) Incorporating grouping information into Bayesian Gaussian graphical model selection. Communications in Statistics - Theory and Methods 0:0, pages 1-18.
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Nathan Osborne, Christine B. Peterson & Marina Vannucci. (2022) Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM. Journal of Computational and Graphical Statistics 31:1, pages 163-175.
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Articles from other publishers (7)
Dongu Han, Daeyoung Lim & Taeryon Choi. (2023) Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+. Journal of the Korean Statistical Society 52:3, pages 676-714.
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Jami J. Mulgrave & Subhashis Ghosal. (2023) Bayesian analysis of nonparanormal graphical models using rank-likelihood. Journal of Statistical Planning and Inference 222, pages 195-208.
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Jami J. Mulgrave & Subhashis Ghosal. (2022)
Regression‐based
Bayesian estimation and structure learning for nonparanormal graphical models
. Statistical Analysis and Data Mining: The ASA Data Science Journal 15:5, pages 611-629.
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Wei Dai & Baisuo Jin. (2021) Bayesian inference of clustering and multiple Gaussian graphical models selection. Journal of the Korean Statistical Society 51:2, pages 422-440.
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Yang Ni, Veerabhadran Baladandayuthapani, Marina Vannucci & Francesco C. Stingo. (2022) Rejoinder to the discussion of “Bayesian graphical models for modern biological applications”. Statistical Methods & Applications 31:2, pages 287-294.
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Christine B. Peterson, Nathan Osborne, Francesco C. Stingo, Pierrick Bourgeat, James D. Doecke & Marina Vannucci. (2020) Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease. Biometrics 76:4, pages 1120-1132.
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Zehang Richard Li, Tyler H. McComick & Samuel J. Clark. (2020) Using Bayesian Latent Gaussian Graphical Models to Infer Symptom Associations in Verbal Autopsies. Bayesian Analysis 15:3.
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