Local conditional and marginal approach to parameter estimation in discrete graphical models
type: Item
instance of: scholarly article
title: Local conditional and marginal approach to parameter estimation in discrete graphical models
zbMATH Open document ID: 1499.62196
author: Hélène Massam
author: Nanwei Wang
published in: Journal of Multivariate Analysis
publication date: 2017-12-21T00:00:00Z
Mathematics Subject Classification ID: 62H22
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F12
zbMATH DE Number: 6820941
zbMATH Keywords: discrete graphical models
zbMATH Keywords: distributed estimation
zbMATH Keywords: local conditional
zbMATH Keywords: local marginal
zbMATH Keywords: maximum composite likelihood estimate
zbMATH Keywords: ``large \(p\), large \(N\)'' asymptotics
MaRDI profile type: Publication
full work available at URL: j.jmva.2017.10.003
OpenAlex ID: W2765635096
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cites work: Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models
cites work: High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression
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DOI: 10.1016/J.JMVA.2017.10.003
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description: scientific article; zbMATH DE number 6820941