Stochastic Modeling of Scientific Data (Chapman & Hall/CRC Texts in Statistical Science)

Guttorp, Peter

ISBN 10: 0412992817 ISBN 13: 9780412992810

Editorial: Chapman and Hall/CRC, 1995

Idioma: Ingl�s

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This is a fine, as new, hardcover first edition copy, no DJ, white spine, 372 pages.

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Detalles bibliogr�ficos

T�tulo

Stochastic Modeling of Scientific Data (Chapman & Hall/CRC Texts in Statistical Science)

Editor

Chapman and Hall/CRC

Fecha de publicaci�n

1995

Idioma

Ingl�s

ISBN 10

0412992817

ISBN 13

9780412992810

Encuadernaci�n

Hardcover

Edici�n

1st Edition

Estado

As New

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Sinopsis

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing feature of this work is that, in addition to probability theory, it contains statistical aspects of model fitting and a variety of data sets that are either analyzed in the text or used as exercises. Markov chain Monte Carlo methods are introduced for evaluating likelihoods in complicated models and the forward backward algorithm for analyzing hidden Markov models is presented. The strength of this text lies in the use of informal language that makes the topic more accessible to non-mathematicians. The combinations of hard science topics with stochastic processes and their statistical inference puts it in a new category of probability textbooks. The numerous examples and exercises are drawn from astronomy, geology, genetics, hydrology, neurophysiology and physics.

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Guttorp\, Peter

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