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An Introduction to Probabilistic Modeling (Undergraduate Texts in Mathematics)

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An Introduction to Probabilistic Modeling (Undergraduate Texts in Mathematics) Cover

 

Synopses & Reviews

Publisher Comments:

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

Preface.- Abbreviations and Notations.- Basic Concepts and Elementary Models.- Discrete Probability.- Probability Densities.- Gaus and Poisson.- Convergences.- Additional Exercises.- Solutions to Additional Exercises.- Index.

Product Details

ISBN:
9780387964607
Author:
Bremaud, Pierre
Author:
Bremaud, P.
Publisher:
Springer
Location:
New York :
Subject:
General
Subject:
Probability
Subject:
Probabilities
Subject:
System Theory
Subject:
Statistics
Subject:
Probability Theory and Stochastic Processes
Subject:
Mathematics - General
Copyright:
Edition Number:
3
Edition Description:
1st ed. 1988. Corr. 2nd printing
Series:
Undergraduate Texts in Mathematics
Series Volume:
no. ADM 87-1502
Publication Date:
19880801
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
224
Dimensions:
235 x 155 mm 1100 gr

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Related Subjects

Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

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