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Titel:

Iterative Conditional Fitting for Discrete Chain Graph Models

Dokumenttyp:
Buchbeitrag
Autor(en):
Drton, Mathias
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...     »
Seitenangaben Beitrag:
93-104
Stichworte:
categorical data, chain graph, conditional independence, graphical model
Dewey-Dezimalklassifikation:
510 Mathematik
Herausgeber:
Brito, Paula
Buchtitel:
COMPSTAT 2008
Titelzusatz:
Proceedings in Computational Statistics
Verlag / Institution:
Physica-Verlag HD
Publikationsdatum:
04.08.2008
Jahr:
2008
Quartal:
3. Quartal
Jahr / Monat:
2008-08
Monat:
Aug
Seiten/Umfang:
590
Print-ISBN:
9783790820836
Sprache:
en
DOI:
doi:10.1007/978-3-7908-2084-3_8
Format:
Text
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