Chain graphs for multilevel models
type: Item
instance of: scholarly article
title: Chain graphs for multilevel models
zbMATH Open document ID: 1118.62017
author: Anna Gottard
author: Carla Rampichini
published in: Statistics \& Probability Letters
publication date: 2007-03-15T00:00:00Z
review text: A chain graph \(G=(V,E)\) is a graph whose nodes \(V\) can be partitioned into an ordered sequence of non-empty subsets forming the so-called dependence chain \(V=V_1\cup V_2\cup\cdots\cup V_n.\) The authors study the joint distribution of a set of Gaussian variables by means of chain graphs, when data have a hierarchical structure.
Mathematics Subject Classification ID: 62E15
Mathematics Subject Classification ID: 62E99
Mathematics Subject Classification ID: 05C90
Mathematics Subject Classification ID: 62A09
Mathematics Subject Classification ID: 60E99
zbMATH DE Number: 5134213
zbMATH Keywords: graphical models
zbMATH Keywords: conditional independence
zbMATH Keywords: hierarchical data
zbMATH Keywords: Markov properties
reviewed by: Vladimir Vatutin
MaRDI profile type: Publication
full work available at URL: j.spl.2006.07.011
OpenAlex ID: W2037016527
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DOI: 10.1016/J.SPL.2006.07.011
description: scientific article; zbMATH DE number 5134213