Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM

DOI10.1080/10618600.2021.1935971OpenAlexW3167389373MaRDI QIDQ5083364

Christine Peterson, Nathan Osborne, Marina Vannucci

Publication date: 22 June 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2010.13229

zbMATH Keywords

EM algorithmcount dataBayesian hierarchical modelgraphical modelvariational inferencemicrobiome data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Rejoinder to the discussion of ``Bayesian graphical models for modern biological applications ⋮ Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks ⋮ Dynamic and robust Bayesian graphical models

Uses Software

• glasso
• huge
• Python
• EMVS
• PhyloScan
• gCoda
• MicroBVS

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