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Stochastic Modeling

Overview of attention for book
Cover of 'Stochastic Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Basics of measure and probability theory
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    Chapter 2 Distribution and conditional expectation
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    Chapter 3 Limit theorems
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    Chapter 4 Stochastic processes: general definition
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    Chapter 5 Martingales
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    Chapter 6 Branching processes
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    Chapter 7 Discrete-time Markov chains
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    Chapter 8 Symmetric simple random walks
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    Chapter 9 Poisson point and Poisson processes
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    Chapter 10 Continuous-time Markov chains
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    Chapter 11 Logistic growth process
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    Chapter 12 Wright–Fisher and Moran models
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    Chapter 13 Percolation models
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    Chapter 14 Interacting particle systems
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    Chapter 15 The contact process
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    Chapter 16 The voter model
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    Chapter 17 Numerical simulations in C and Matlab
Attention for Chapter 7: Discrete-time Markov chains
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