Context-specific independence in graphical log-linear models
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Publication:333386
DOI10.1007/s00180-015-0606-6zbMath1348.65036arXiv1409.2713OpenAlexW1507811118MaRDI QIDQ333386
Henrik Nyman, Johan Pensar, Timo Koski, Jukka Corander
Publication date: 28 October 2016
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1409.2713
Computational methods for problems pertaining to statistics (62-08) Contingency tables (62H17) Graphical methods in statistics (62A09)
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On the role of the overall effect in exponential families ⋮ Context-specific independencies in hierarchical multinomial marginal models ⋮ Context-Specific Independencies Embedded in Chain Graph Models of Type I ⋮ Structure Learning of Contextual Markov Networks using Marginal Pseudo‐likelihood ⋮ Context-specific independencies in stratified chain regression graphical models ⋮ Context-Specific and Local Independence in Markovian Dependence Structures ⋮ A Logical Approach to Context-Specific Independence ⋮ Hierarchical Aitchison-Silvey models for incomplete binary sample spaces
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