Algebraic Methods in Statistics and Probability

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Author :
Release : 2001
Genre : Algebra
Kind :
Book Rating : 239/5 ( reviews)

Algebraic Methods in Statistics and Probability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algebraic Methods in Statistics and Probability write by . This book was released on 2001. Algebraic Methods in Statistics and Probability available in PDF, EPUB and Kindle.

Algebraic Methods in Statistics and Probability II

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Author :
Release : 2010
Genre : Mathematics
Kind :
Book Rating : 917/5 ( reviews)

Algebraic Methods in Statistics and Probability II - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algebraic Methods in Statistics and Probability II write by Marlos A. G. Viana. This book was released on 2010. Algebraic Methods in Statistics and Probability II available in PDF, EPUB and Kindle. A decade after the publication of Contemporary Mathematics Vol. 287, the present volume demonstrates the consolidation of important areas, such as algebraic statistics, computational commutative algebra, and deeper aspects of graphical models. --

Algebraic Methods in Statistics and Probability

Download Algebraic Methods in Statistics and Probability PDF Online Free

Author :
Release : 2001
Genre : Mathematics
Kind :
Book Rating : 875/5 ( reviews)

Algebraic Methods in Statistics and Probability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algebraic Methods in Statistics and Probability write by Marlos A. G. Viana. This book was released on 2001. Algebraic Methods in Statistics and Probability available in PDF, EPUB and Kindle. The 23 papers report recent developments in using the technique to help clarify the relationship between phenomena and data in a number of natural and social sciences. Among the topics are a coordinate-free approach to multivariate exponential families, some rank-based hypothesis tests for covariance structure and conditional independence, deconvolution density estimation on compact Lie groups, random walks on regular languages and algebraic systems of generating functions, and the extendibility of statistical models. There is no index. c. Book News Inc.

Algebraic and Geometric Methods in Statistics

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Author :
Release : 2010
Genre : Mathematics
Kind :
Book Rating : 193/5 ( reviews)

Algebraic and Geometric Methods in Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algebraic and Geometric Methods in Statistics write by Paolo Gibilisco. This book was released on 2010. Algebraic and Geometric Methods in Statistics available in PDF, EPUB and Kindle. An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines.

Algebraic Statistics

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Release : 2018-11-19
Genre : Education
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Book Rating : 179/5 ( reviews)

Algebraic Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algebraic Statistics write by Seth Sullivant. This book was released on 2018-11-19. Algebraic Statistics available in PDF, EPUB and Kindle. Algebraic statistics uses tools from algebraic geometry, commutative algebra, combinatorics, and their computational sides to address problems in statistics and its applications. The starting point for this connection is the observation that many statistical models are semialgebraic sets. The algebra/statistics connection is now over twenty years old, and this book presents the first broad introductory treatment of the subject. Along with background material in probability, algebra, and statistics, this book covers a range of topics in algebraic statistics including algebraic exponential families, likelihood inference, Fisher's exact test, bounds on entries of contingency tables, design of experiments, identifiability of hidden variable models, phylogenetic models, and model selection. With numerous examples, references, and over 150 exercises, this book is suitable for both classroom use and independent study.