Algebraic Geometry And Statistical Learning Theory

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Algebraic Geometry and Statistical Learning Theory
Language: en
Pages: 295
Authors: Sumio Watanabe
Categories: Computers
Type: BOOK - Published: 2009-08-13 - Publisher: Cambridge University Press

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Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular
Algebraic Statistics for Computational Biology
Language: en
Pages: 440
Authors: L. Pachter
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Type: BOOK - Published: 2005-08-22 - Publisher: Cambridge University Press

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This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology.
The Nature of Statistical Learning Theory
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Pages: 324
Authors: Vladimir Vapnik
Categories: Mathematics
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a gene
Lectures on Algebraic Statistics
Language: en
Pages: 177
Authors: Mathias Drton
Categories: Mathematics
Type: BOOK - Published: 2009-04-25 - Publisher: Springer Science & Business Media

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How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor
Differential Geometry and Statistics
Language: en
Pages: 292
Authors: M.K. Murray
Categories: Mathematics
Type: BOOK - Published: 1993-04-01 - Publisher: CRC Press

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Ever since the introduction by Rao in 1945 of the Fisher information metric on a family of probability distributions, there has been interest among statistician