Stochastic Modeling of Scientific Data
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 p…
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Produktdetails
- ISBN: 978-1-351-41366-4
- EAN: 9781351413664
- Produktnummer: 27163574
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 384 S.
- Plattform: PDF
- Masse: 25'819 KB
- Auflage: 1. Auflage
Über den Autor
Guttorp, Peter
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