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Type: BOOK - Published: 2014-02-25 - Publisher: Psychology Press
A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are for
Language: en
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Type: BOOK - Published: 2018-07-12 - Publisher: Cambridge University Press
Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.
Language: en
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Type: BOOK - Published: 2009-08-13 - Publisher: Cambridge University Press
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
Language: en
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V. I. Arnold reveals some unexpected connections between such apparently unrelated theories as Galois fields, dynamical systems, ergodic theory, statistics, cha