Context-Specific Independencies Embedded in Chain Graph Models of Type I

DOI10.1007/978-3-030-21140-0_18zbMath1436.62211OpenAlexW2972294709MaRDI QIDQ3296454

Manuela Cazzaro, Federica Nicolussi

Publication date: 7 July 2020

Published in: Statistical Learning of Complex Data (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2434/709708

zbMATH Keywords

contingency tablecategorical variablesordinal variablescontext-specific independenciesstratified chain graph models

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Applications of graph theory (05C90) Order statistics; empirical distribution functions (62G30) Contingency tables (62H17)

Related Items (2)

Context-specific independencies in hierarchical multinomial marginal models ⋮ Context-specific independencies in stratified chain regression graphical models

Uses Software

• hmmm

Cites Work

• Unnamed Item
• Context-specific independence in graphical log-linear models
• Discrete chain graph models
• Chain graph models of multivariate regression type for categorical data
• Graphical models for associations between variables, some of which are qualitative and some quantitative
• Marginal Nested Interactions for Contingency Tables
• Marginal log-linear parameterization of conditional independence models
• Context-Specific and Local Independence in Markovian Dependence Structures
• Log-mean linear models for binary data

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