Marginal pseudo-likelihood learning of discrete Markov network structures

DOI10.1214/16-BA1032zbMath1384.62178arXiv1401.4988MaRDI QIDQ1699714

Juha Niiranen, Henrik Nyman, Jukka Corander, Johan Pensar

Publication date: 23 February 2018

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

Full work available at URL: https://arxiv.org/abs/1401.4988

zbMATH Keywords

regularizationBayesian inferencepseudo-likelihoodstructure learningMarkov networksnon-chordal graph

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Bayesian inference (62F15)

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Guest editors' introduction to the special issue ``Network psychometrics in action: methodological innovations inspired by empirical problems ⋮ Objective Bayesian edge screening and structure selection for Ising networks ⋮ Structure Learning of Contextual Markov Networks using Marginal Pseudo‐likelihood ⋮ Loglinear model selection and human mobility ⋮ High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood ⋮ Unnamed Item

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