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雷达卡
Authors: Satoshi Aoki, Hisayuki Hara, Akimichi Takemura
Crucial guide for statisticians no matter previous exposure to algebra and algebraic statistics
Clear organization guides the reader through the 16 chapters with figures and tables
Shows topic in its broader context, beginning with introductory material
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.
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原版 PDF：
Markov Bases in Algebraic Statistics.pdf
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Markov Bases in Algebraic Statistics.zip
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本附件包括：- Markov Bases in Algebraic Statistics.pdf
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