© 1988

An Introduction to Probabilistic Modeling


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

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Pierre Brémaud
    Pages 1-45
  3. Pierre Brémaud
    Pages 46-84
  4. Pierre Brémaud
    Pages 85-127
  5. Pierre Brémaud
    Pages 128-162
  6. Pierre Brémaud
    Pages 163-192
  7. Back Matter
    Pages 193-208

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.


Branching process Conditional probability Markov chain Poisson process Probability space Probability theory Random variable Stochastic processes Variance coding stochastic process

Authors and affiliations

  1. 1.Laboratoire des Signaux et SystèmesCNRSGif-sur-YvetteFrance

Bibliographic information

  • Book Title An Introduction to Probabilistic Modeling
  • Authors Pierre Bremaud
  • Series Title Undergraduate Texts in Mathematics
  • DOI
  • Copyright Information Springer-Verlag New York Inc. 1988
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-387-96460-7
  • Softcover ISBN 978-1-4612-6996-0
  • eBook ISBN 978-1-4612-1046-7
  • Series ISSN 0172-6056
  • Edition Number 1
  • Number of Pages XVI, 208
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Probability Theory and Stochastic Processes
  • Buy this book on publisher's site
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