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Efficient Markov chain Monte Carlo with incomplete multinomial data

✍ Scribed by Kwang Woo Ahn; Kung-Sik Chan


Book ID
106537252
Publisher
Springer US
Year
2009
Tongue
English
Weight
428 KB
Volume
20
Category
Article
ISSN
0960-3174

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The class of ΓΏnite state space Markov chains, stationary with respect to a common pre-speciΓΏed distribution, is considered. An easy-to-check partial ordering is deΓΏned on this class. The ordering provides a su cient condition for the dominating Markov chain to be more e cient. E ciency is measured b