Bayesian inference in nonparanormal graphical models

DOI10.1214/19-BA1159zbMath1459.62035arXiv1806.04334OpenAlexW3104179478MaRDI QIDQ2226690

Jami J. Mulgrave, Subhashis Ghosal

Publication date: 9 February 2021

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.04334

zbMATH Keywords

Bayesian inferencesparsityGaussian graphical modelscontinuous shrinkage priornonparanormal

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20) Probabilistic graphical models (62H22)

Related Items (3)

Bayesian analysis of nonparanormal graphical models using rank-likelihood ⋮ Bayesian discriminant analysis using a high dimensional predictor ⋮ Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks

Uses Software

• glasso
• BDgraph
• AS 177
• tmg

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