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TitleMinimal and minimal invariant Markov bases of decomposable models for contingency tables.
Author(s) Satoshi Aoki, Hiren Maharaj, Akimichi Takemura
TypeArticle in Journal
AbstractWe study Markov bases of decomposable graphical models consisting of primitive moves (i.e., square-free moves of degree two) by determining the structure of fibers of sample size two. We show that the number of elements of fibers of sample size two are powers of two and we characterize primitive moves in Markov bases in terms of connected components of induced subgraphs of the independence graph of a hierarchical model. This allows us to derive a complete description of minimal Markov bases and minimal invariant Markov bases for decomposable models.
ISSN1350-7265
URL http://projecteuclid.org/euclid.bj/1265984709
LanguageEnglish
JournalBernoulli
Volume16
Number1
Pages208--233
PublisherInternational Statistical Institute (ISI), Voorburg; Bernoulli Society for Mathematical Statistics a
Year2010
Edition0
Translation No
Refereed No
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