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Document type:
Buchbeitrag 
Author(s):
Drton, Mathias 
Title:
Iterative Conditional Fitting for Discrete Chain Graph Models 
Pages contribution:
93-104 
Abstract:
‘Iterative conditional fitting’ is a recently proposed algorithm that can be used for maximization of the likelihood function in marginal independence models for categorical data. This paper describes a modification of this algorithm, which allows one to compute maximum likelihood estimates in a class of chain graph models for categorical data. The considered discrete chain graph models are defined using conditional independence relations arising in recursive multivariate regressions with correl...    »
 
Keywords:
categorical data, chain graph, conditional independence, graphical model 
Dewey Decimal Classification:
510 Mathematik 
Editor:
Brito, Paula 
Book title:
COMPSTAT 2008 
Book subtitle:
Proceedings in Computational Statistics 
Publisher:
Physica-Verlag HD 
Date of publication:
04.08.2008 
Year:
2008 
Quarter:
3. Quartal 
Year / month:
2008-08 
Month:
Aug 
Pages:
590 
Print-ISBN:
9783790820836 
Language:
en 
Format:
Text