Algebraic Geometry And Statistical Learning Theory
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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
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This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology.
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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
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Pages: 177
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Type: BOOK - Published: 2009-04-25 - Publisher: Springer Science & Business Media
How does an algebraic geometer studying secant varieties further the understanding of hypothesis tests in statistics? Why would a statistician working on factor
Language: en
Pages: 292
Pages: 292
Type: BOOK - Published: 1993-04-01 - Publisher: CRC Press
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