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Stochastic Modeling of Scientific Data (Stochastic Modeling Series) 2025 pdf epub mobi 電子書下載

Stochastic Modeling of Scientific Data (Stochastic Modeling Series)

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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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發表於2025-01-25

Stochastic Modeling of Scientific Data (Stochastic Modeling Series) 2025 pdf epub mobi 電子書下載

Stochastic Modeling of Scientific Data (Stochastic Modeling Series) 2025 pdf epub mobi 電子書下載

Stochastic Modeling of Scientific Data (Stochastic Modeling Series) 2025 pdf epub mobi 電子書下載

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出版者:Chapman & Hall/CRC

作者:Peter Guttorp

出品人:

頁數:384

譯者:

出版時間:1995-08-01

價格:USD 124.95

裝幀:Hardcover

isbn號碼:9780412992810

叢書系列:

圖書標籤: 概率專著

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