Probability via Expectation

  • Peter Whittle

Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Peter Whittle
    Pages 1-12
  3. Peter Whittle
    Pages 13-38
  4. Peter Whittle
    Pages 39-50
  5. Peter Whittle
    Pages 51-79
  6. Peter Whittle
    Pages 80-101
  7. Peter Whittle
    Pages 102-120
  8. Peter Whittle
    Pages 121-140
  9. Peter Whittle
    Pages 150-181
  10. Peter Whittle
    Pages 182-214
  11. Peter Whittle
    Pages 215-228
  12. Peter Whittle
    Pages 229-240
  13. Peter Whittle
    Pages 253-267
  14. Peter Whittle
    Pages 282-289
  15. Peter Whittle
    Pages 290-305
  16. Peter Whittle
    Pages 306-316
  17. Peter Whittle
    Pages 329-339
  18. Back Matter
    Pages 341-353

About this book


The third edition of 1992 constituted a major reworking of the original text, and the preface to that edition still represents my position on the issues that stimulated me first to write. The present edition contains a number of minor modifications and corrections, but its principal innovation is the addition of material on dynamic programming, optimal allocation, option pricing and large deviations. These are substantial topics, but ones into which one can gain an insight with less labour than is generally thought. They all involve the expectation concept in an essential fashion, even the treatment of option pricing, which seems initially to forswear expectation in favour of an arbitrage criterion. I am grateful to readers and to Springer-Verlag for their continuing interest in the approach taken in this work. Peter Whittle Preface to the Third Edition This book is a complete revision of the earlier work Probability which appeared in 1970. While revised so radically and incorporating so much new material as to amount to a new text, it preserves both the aim and the approach of the original. That aim was stated as the provision of a 'first text in probability, demanding a reasonable but not extensive knowledge of mathematics, and taking the reader to what one might describe as a good intermediate level' . In doing so it attempted to break away from stereotyped applications, and consider applications of a more novel and significant character.


Markov process Martingale Probability Theory Random variable optimization probability measure

Authors and affiliations

  • Peter Whittle
    • 1
  1. 1.Department of Pure Mathematics and Mathematical StatisticsUniversity of CambridgeCambridgeEngland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York, Inc. 2000
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6795-9
  • Online ISBN 978-1-4612-0509-8
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site
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