An Introduction to Probabilistic Modeling

✍ Scribed by Pierre Brémaud (auth.)

Publisher: Springer-Verlag New York
Year: 1988
Tongue: English
Leaves: 221
Series: Undergraduate Texts in Mathematics
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory.

✦ Table of Contents

Front Matter....Pages i-xvi
Basic Concepts and Elementary Models....Pages 1-45
Discrete Probability....Pages 46-84
Probability Densities....Pages 85-127
Gauss and Poisson....Pages 128-162
Convergences....Pages 163-192
Back Matter....Pages 193-208

✦ Subjects

Probability Theory and Stochastic Processes

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