<p>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.</p>
Introduction to Probabilistic Automata
β Scribed by Azaria Paz and Werner Rheinboldt (Auth.)
- Publisher
- Elsevier Inc, Academic Press Inc
- Year
- 1971
- Tongue
- English
- Leaves
- 245
- Series
- Computer Science and Applied Mathematics
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Computer Science and Applied Mathematics: A SERIES OF MONOGRAPHS AND TEXTBOOKS, Page ii
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages ix-x
Acknowledgments, Page xi
Abbreviations, Page xiii
Notation, Pages xv-xvii
Preliminaries, Pages xix-xxv
Chapter I - Stochastic Sequential Machines, Pages 1-66
Chapter II - Markov Chains, Pages 67-144
Chapter III - Events, Languages, and Acceptors, Pages 145-193
Chapter IV - Applications and Generalizations, Pages 195-198
References, Pages 199-208
Answers and Hints to Selected Exercises, Pages 209-222
Author Index, Pages 223-225
Subject Index, Pages 226-228
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