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Probability Theory

  • Alexandr A.¬†Borovkov

Part of the Universitext book series (UTX)

Table of contents

  1. Front Matter
    Pages I-XXVIII
  2. Alexandr A. Borovkov
    Pages 1-11
  3. Alexandr A. Borovkov
    Pages 13-29
  4. Alexandr A. Borovkov
    Pages 31-63
  5. Alexandr A. Borovkov
    Pages 65-105
  6. Alexandr A. Borovkov
    Pages 107-127
  7. Alexandr A. Borovkov
    Pages 129-151
  8. Alexandr A. Borovkov
    Pages 153-184
  9. Alexandr A. Borovkov
    Pages 277-313
  10. Alexandr A. Borovkov
    Pages 333-387
  11. Alexandr A. Borovkov
    Pages 389-446
  12. Alexandr A. Borovkov
    Pages 447-456
  13. Alexandr A. Borovkov
    Pages 457-492
  14. Alexandr A. Borovkov
    Pages 493-506
  15. Alexandr A. Borovkov
    Pages 507-526
  16. Alexandr A. Borovkov
    Pages 527-537
  17. Alexandr A. Borovkov
    Pages 539-557
  18. Alexandr A. Borovkov
    Pages 559-577
  19. Alexandr A. Borovkov
    Pages 579-609
  20. Back Matter
    Pages 619-733

About this book

Introduction

Probability theory is an actively developing branch of mathematics. It has applications in many areas of science and technology and forms the basis of mathematical statistics. This self-contained, comprehensive book tackles the principal problems and advanced questions of probability theory and random processes in 22 chapters, presented in a logical order but also suitable for dipping into. They include both classical and more recent results, such as large deviations theory, factorization identities, information theory, stochastic recursive sequences. The book is further distinguished by the inclusion of clear and illustrative proofs of the fundamental results that comprise many methodological improvements aimed at simplifying the arguments and making them more transparent.

 

The importance of the Russian school in the development of probability theory has long been recognized. This book is the translation of the fifth edition of the highly successful and esteemed Russian textbook. This edition includes a number of new sections, such as a new chapter on large deviation theory for random walks, which are of both theoretical and applied interest. The frequent references to Russian literature throughout this work lend a fresh dimension and makes it an invaluable source of reference for Western researchers and advanced students in probability related subjects.

 

Probability Theory will be of interest to both advanced undergraduate and graduate students studying probability theory and its applications. It can serve as a basis for several one-semester courses on probability theory and random processes as well as self-study.

 

About the Author

 

Professor Alexandr Borovkov lives and works in the Novosibirsk Academy Town in Russia and is affiliated with both the Sobolev Institute of Mathematics of the Russian Academy of Sciences and the Novosibirsk State University. He is one of the most prominent Russian specialists in probability theory and mathematical statistics. Alexandr Borovkov authored and co-authored more than 200 research papers and ten research monographs and advanced level university textbooks. His contributions to mathematics and its applications are widely recognized, which included election to the Russian Academy of Sciences and several prestigious awards for his research and textbooks.

Keywords

Ergodicity Large Deviations Limit Theorems Markov Chains Martingales Probability Theory Random Processes

Authors and affiliations

  • Alexandr A.¬†Borovkov
    • 1
  1. 1.Sobolev Institute of MathematicsRussian Academy of SciencesNovosibirskRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-5201-9
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4471-5200-2
  • Online ISBN 978-1-4471-5201-9
  • Series Print ISSN 0172-5939
  • Series Online ISSN 2191-6675
  • Buy this book on publisher's site