Overview
- Mathematically rigorous but written in a convivial style
- Treats the general theory as well as special models of proven interest in applications
- Self-contained with exercises and a helpful appendix on analysis
Part of the book series: Universitext (UTX)
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Table of contents (17 chapters)
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Front Matter
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Probability Theory
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Front Matter
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Advanced Topics
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Front Matter
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Keywords
About this book
The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance, finance, biology, physics, computer and communications networks, and signal processing.
In order to help the reader to reach a level of technical autonomy sufficient to understand the presented models, this book includes a reasonable dose of probability theory. On the other hand, the study of stochastic processes gives an opportunity to apply the main theoretical results of probability theory beyond classroom examples and in a non-trivial manner that makes this discipline look more attractive to the applications-oriented student.
One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes. There is sufficient modularity for the instructor or the self-teaching reader to design a course or a study program adapted to her/his specific needs. This book is in a large measure self-contained.
Reviews
“The book is very interesting and useful to a very wide audience: students, postgraduates, practitioners and everybody who wants to study random objects and apply stochastic methods.” (Yuliya S. Mishura, zbMATH 1445.60001, 2020)
Authors and Affiliations
About the author
Pierre Brémaud graduated from the École Polytechnique and obtained his Doctorate in Mathematics from the University of Paris VI and his PhD from the department of Electrical Engineering and Computer Science at the University of California, Berkeley. He is a major contributor to the theory of stochastic processes and their applications, and has authored or co-authored several reference books and textbooks on the subject.
Bibliographic Information
Book Title: Probability Theory and Stochastic Processes
Authors: Pierre Brémaud
Series Title: Universitext
DOI: https://doi.org/10.1007/978-3-030-40183-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-40182-5Published: 08 April 2020
eBook ISBN: 978-3-030-40183-2Published: 07 April 2020
Series ISSN: 0172-5939
Series E-ISSN: 2191-6675
Edition Number: 1
Number of Pages: XVII, 713
Number of Illustrations: 43 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods