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Bayesian inference for high-dimensional decomposable graphs
v1v2v3v4 (latest)

Bayesian inference for high-dimensional decomposable graphs

Electronic Journal of Statistics (EJS), 2020
17 April 2020
Kyoungjae Lee
Xuan Cao
ArXiv (abs)PDFHTML

Papers citing "Bayesian inference for high-dimensional decomposable graphs"

3 / 3 papers shown
Bayesian Approach to Linear Bayesian Networks
Bayesian Approach to Linear Bayesian Networks
Seyong Hwang
Kyoungjae Lee
Sunmin Oh
Gunwoong Park
278
1
0
27 Nov 2023
High-Dimensional Bernstein Von-Mises Theorems for Covariance and
  Precision Matrices
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
Partha Sarkar
Kshitij Khare
Malay Ghosh
Matt P. Wand
288
1
0
15 Sep 2023
Consistent and scalable Bayesian joint variable and graph selection for
  disease diagnosis leveraging functional brain network
Consistent and scalable Bayesian joint variable and graph selection for disease diagnosis leveraging functional brain networkBayesian Analysis (Bayesian Anal.), 2022
Xuan Cao
Kyoungjae Lee
150
3
0
14 Mar 2022
1
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