Titlebook: Statistical Methods in Bioinformatics; An Introduction Warren J. Ewens,Gregory R. Grant Textbook 20011st edition Springer-Verlag New York 2

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Evolutionary Models,ects of these simplified models are discussed in this chapter. The emphasis is on introductory statistical and probabilistic aspects. A probabilistic approach has the merit of allowing the testing of various hypotheses concerning the evolutionary process. Hypothesis-testing questions in the evolutionary context are discussed in Section 14.9.

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Springer-Verlag New York 2001

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Statistical Methods in Bioinformatics978-1-4757-3247-4Series ISSN 1431-8776 Series E-ISSN 2197-5671

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Stochastic Processes (i): Poisson Processes and Markov Chains,In this section we state the fundamental properties that define a Poisson process, and from these properties we derive the Poisson distribution, introduced in Section 1.3.6.

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Stochastic Processes (ii): Random Walks,Random walks are special cases of Markov chains, and thus can be analyzed by Markov chain methods. However, the special features of random walks allow specific methods of analysis. Some of these methods are introduced in this chapter.

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