Stochastic Modeling of Scientific Data is popular PDF and ePub book, written by Peter Guttorp in 2018-03-29, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Stochastic Modeling of Scientific Data can be Read Online from any device for your convenience.
Stochastic Modeling of Scientific Data Book PDF Summary
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.
Detail Book of Stochastic Modeling of Scientific Data PDF
- Author : Peter Guttorp
- Release : 29 March 2018
- Publisher : CRC Press
- ISBN : 9781351413657
- Genre : Mathematics
- Total Page : 194 pages
- Language : English
- PDF File Size : 15,6 Mb
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