Articoli correlati a Markov Bases in Algebraic Statistics: 199
Intended for statisticians less well versed in algebra, this volume is full of practical statistical problems and sets the topic in its broader context, giving statisticians the necessary grounding to enable them to begin work in this rapidly developing field.
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“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 this field. ... This text is the definitive reference on the subject, aimed principally at statisticians interested in Markov chain algorithms for sampling from discrete exponential families and its various applications ... . It could also be used as a textbook for an advanced seminar on the subject.” (Luis David García-Puente, Mathematical Reviews, December, 2013)Satoshi Aoki obtained his doctoral degree from the University of Tokyo in 2004 and is currently an associate professor in the Graduate School of Science and Engineering, Kagoshima University.
Hisayuki Hara obtained his doctoral degree from the University of Tokyo in 1999 and is currently an associate professor in the Faculty of Economics, Niigata University.
Akimichi Takemura obtained his doctoral degree from Stanford University in 1982 and is currently a professor in the Graduate School of Information Science and Technology, University of Tokyo.
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- EditoreSpringer
- Data di pubblicazione2014
- ISBN 10 1489999094
- ISBN 13 9781489999092
- RilegaturaCopertina flessibile
- Numero di pagine312
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Descrizione libro Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 seminal work of Diaconis and Sturmfels.This book is intended for statisticians with minimal backgrounds in algebra. As we ourselves learned algebraic notions through working on statistical problems and collaborating with notable algebraists, we hope that this book with many practical statistical problems is useful for statisticians to start working on the field. 312 pp. Englisch. Codice articolo 9781489999092
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Descrizione libro Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 seminal work of Diaconis and Sturmfels.This book is intended for statisticians with minimal backgrounds in algebra. As we ourselves learned algebraic notions through working on statistical problems and collaborating with notable algebraists, we hope that this book with many practical statistical problems is useful for statisticians to start working on the field. Codice articolo 9781489999092
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Descrizione libro Condizione: New. Intended for statisticians less well versed in algebra, this volume is full of practical statistical problems and sets the topic in its broader context, giving statisticians the necessary grounding to enable them to begin work in this rapidly developing field. Series: Springer Series in Statistics. Num Pages: 312 pages, 31 black & white tables, biography. BIC Classification: PBF; PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 480. . 2014. Paperback. . . . . Codice articolo V9781489999092
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ISBN 13: 9781489999092
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Descrizione libro Condizione: New. Intended for statisticians less well versed in algebra, this volume is full of practical statistical problems and sets the topic in its broader context, giving statisticians the necessary grounding to enable them to begin work in this rapidly developing field. Series: Springer Series in Statistics. Num Pages: 312 pages, 31 black & white tables, biography. BIC Classification: PBF; PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 480. . 2014. Paperback. . . . . Books ship from the US and Ireland. Codice articolo V9781489999092
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