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An Introduction to Probabilistic Modeling

  • Textbook
  • © 1988

Overview

Authors:
  1. Pierre Brémaud

    1. Laboratoire des Signaux et Systèmes, CNRS, Gif-sur-Yvette, France

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Part of the book series: Undergraduate Texts in Mathematics (UTM)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Basic Concepts and Elementary Models

    • Pierre Brémaud
    Pages 1-45

  3. Discrete Probability

    • Pierre Brémaud
    Pages 46-84

  4. Probability Densities

    • Pierre Brémaud
    Pages 85-127

  5. Gauss and Poisson

    • Pierre Brémaud
    Pages 128-162

  6. Convergences

    • Pierre Brémaud
    Pages 163-192

  7. Back Matter

    Pages 193-208
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Keywords

About this book

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.

Authors and Affiliations

  • Laboratoire des Signaux et Systèmes, CNRS, Gif-sur-Yvette, France

    Pierre Brémaud

Bibliographic Information

  • Book Title: An Introduction to Probabilistic Modeling

  • Authors: Pierre Brémaud

  • Series Title: Undergraduate Texts in Mathematics

  • DOI: https://doi.org/10.1007/978-1-4612-1046-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1988

  • Hardcover ISBN: 978-0-387-96460-7Published: 01 August 1988

  • Softcover ISBN: 978-1-4612-6996-0Published: 17 October 2012

  • eBook ISBN: 978-1-4612-1046-7Published: 06 December 2012

  • Series ISSN: 0172-6056

  • Series E-ISSN: 2197-5604

  • Edition Number: 1

  • Number of Pages: XVI, 208

  • Topics: Probability Theory and Stochastic Processes

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