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An empirical $G$-Wishart prior for sparse high-dimensional Gaussian
  graphical models

An empirical GGG-Wishart prior for sparse high-dimensional Gaussian graphical models

9 December 2019
Chang-rui Liu
Ryan Martin
ArXivPDFHTML

Papers citing "An empirical $G$-Wishart prior for sparse high-dimensional Gaussian graphical models"

2 / 2 papers shown
Title
Empirical Bayes inference in sparse high-dimensional generalized linear
  models
Empirical Bayes inference in sparse high-dimensional generalized linear models
Yiqi Tang
Ryan Martin
19
3
0
14 Mar 2023
Covariance Structure Estimation with Laplace Approximation
Covariance Structure Estimation with Laplace Approximation
Bongjung Sung
Jaeyong Lee
CML
20
1
0
04 Nov 2021
1