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Scaling It Up: Stochastic Search Structure Learning in Graphical Models

Scaling It Up: Stochastic Search Structure Learning in Graphical Models

7 May 2015
Hao Wang
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Papers citing "Scaling It Up: Stochastic Search Structure Learning in Graphical Models"

5 / 5 papers shown
Title
Network reconstruction via the minimum description length principle
Network reconstruction via the minimum description length principle
Tiago P. Peixoto
18
5
0
02 May 2024
Bayesian Approach to Linear Bayesian Networks
Bayesian Approach to Linear Bayesian Networks
Seyong Hwang
Kyoungjae Lee
Sunmin Oh
Gunwoong Park
11
0
0
27 Nov 2023
Inference of multiple high-dimensional networks with the Graphical
  Horseshoe prior
Inference of multiple high-dimensional networks with the Graphical Horseshoe prior
Claudio Busatto
F. Stingo
15
2
0
13 Feb 2023
Covariance Structure Estimation with Laplace Approximation
Covariance Structure Estimation with Laplace Approximation
Bongjung Sung
Jaeyong Lee
CML
20
1
0
04 Nov 2021
Bayesian Joint Spike-and-Slab Graphical Lasso
Bayesian Joint Spike-and-Slab Graphical Lasso
Z. Li
Tyler H. McCormick
S. Clark
11
33
0
18 May 2018
1