Stochastic Modeling of Scientific Data (Stochastic Modeling Series) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Peter Guttorp 作者

Chapman & Hall/CRC

译者

1995-08-01 出版日期

384 页数

USD 124.95 价格

Hardcover

丛书系列

9780412992810 图书编码

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Stochastic Modeling of Scientific Data (Stochastic Modeling Series) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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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