[PDF.59wq] Markov Bases in Algebraic Statistics (Springer Series in Statistics)

Markov Bases in Algebraic Statistics (Springer Series in Statistics)

[PDF.en30] Markov Bases in Algebraic Statistics (Springer Series in Statistics)

Markov Bases in Algebraic  Satoshi Aoki, Hisayuki Hara, Akimichi Takemura epub
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Markov Bases in Algebraic  Satoshi Aoki, Hisayuki Hara, Akimichi Takemura pdf file
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Markov Bases in Algebraic  Satoshi Aoki, Hisayuki Hara, Akimichi Takemura book review
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 | #5099305 in Books |  Springer |  2012-07-24 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,1.35 | File type: PDF | 300 pages

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|| ||From the reviews:“The book by Aoki, Hara, and Takemura presents a thorough introduction to Markov chain Monte Carlo tests for discrete exponential families, focusing on the concept of Markov bases. It is an authoritative and highly readable account of t

Algebraic statistics is a rapidly developing field, where ideas from statistics and algebra meet and stimulate new research directions. One of the origins of algebraic statistics is the work by Diaconis and Sturmfels in 1998 on the use of Gröbner bases for constructing a connected Markov chain for performing conditional tests of a discrete exponential family. In this book we take up this topic and present a detailed summary of developments following the semi...

You can specify the type of files you want, for your gadget.Markov Bases in Algebraic Statistics (Springer Series in Statistics)   |  Satoshi Aoki, Hisayuki Hara, Akimichi Takemura. A good, fresh read, highly recommended.

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