Markov Bases in Algebraic Statistics is popular PDF and ePub book, written by Satoshi Aoki in 2012-07-25, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Markov Bases in Algebraic Statistics can be Read Online from any device for your convenience.
Markov Bases in Algebraic Statistics Book PDF Summary
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.
Detail Book of Markov Bases in Algebraic Statistics PDF
- Author : Satoshi Aoki
- Release : 25 July 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461437192
- Genre : Mathematics
- Total Page : 294 pages
- Language : English
- PDF File Size : 9,6 Mb
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