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BDgraph: An R Package for Bayesian Structure Learning in Graphical
  Models
v1v2v3v4v5v6 (latest)

BDgraph: An R Package for Bayesian Structure Learning in Graphical Models

21 January 2015
Abdolreza Mohammadi
E. Wit
    CML
ArXiv (abs)PDFHTML

Papers citing "BDgraph: An R Package for Bayesian Structure Learning in Graphical Models"

5 / 5 papers shown
Title
Large-scale Bayesian Structure Learning for Gaussian Graphical Models
  using Marginal Pseudo-likelihood
Large-scale Bayesian Structure Learning for Gaussian Graphical Models using Marginal Pseudo-likelihood
Reza Mohammadi
M. Schoonhoven
Lucas Vogels
Ş. Birbil
52
0
0
30 Jun 2023
Optimal Bayesian Smoothing of Functional Observations over a Large Graph
Optimal Bayesian Smoothing of Functional Observations over a Large Graph
Arkaprava Roy
S. Ghosal
47
3
0
21 Apr 2021
Fast and Exact Simulation of Multivariate Normal and Wishart Random Variables with Box Constraints
Hillary Koch
Gregory P. Bopp
45
3
0
28 Jun 2019
An Expectation Conditional Maximization approach for Gaussian graphical
  models
An Expectation Conditional Maximization approach for Gaussian graphical models
Z. Li
Tyler H. McCormick
76
26
0
20 Sep 2017
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical
  Models
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models
Reza Mohammadi
H. Massam
G. Letac
CML
22
21
0
14 Jun 2017
1