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Probability via Expectation

  • Textbook
  • © 2000

Overview

Authors:
  1. Peter Whittle

    1. Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, England

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

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Uncertainty, Intuition, and Expectation

    • Peter Whittle
    Pages 1-12

  3. Expectation

    • Peter Whittle
    Pages 13-38

  4. Probability

    • Peter Whittle
    Pages 39-50

  5. Some Basic Models

    • Peter Whittle
    Pages 51-79

  6. Conditioning

    • Peter Whittle
    Pages 80-101

  7. Applications of the Independence Concept

    • Peter Whittle
    Pages 102-120

  8. The Two Basic Limit Theorems

    • Peter Whittle
    Pages 121-140

  9. Continuous Random Variables and Their Transformations

    • Peter Whittle
    Pages 141-149

  10. Markov Processes in Discrete Time

    • Peter Whittle
    Pages 150-181

  11. Markov Processes in Continuous Time

    • Peter Whittle
    Pages 182-214

  12. Action Optimisation; Dynamic Programming

    • Peter Whittle
    Pages 215-228

  13. Optimal Resource Allocation

    • Peter Whittle
    Pages 229-240

  14. Finance: ‘Risk-Free’ Trading and Option Pricing

    • Peter Whittle
    Pages 241-252

  15. Second-Order Theory

    • Peter Whittle
    Pages 253-267

  16. Consistency and Extension: The Finite-Dimensional Case

    • Peter Whittle
    Pages 268-281

  17. Stochastic Convergence

    • Peter Whittle
    Pages 282-289

  18. Martingales

    • Peter Whittle
    Pages 290-305

  19. Large-Deviation Theory

    • Peter Whittle
    Pages 306-316

  20. Extension: Examples of the Infinite-Dimensional Case

    • Peter Whittle
    Pages 317-328
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Keywords

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 incorporatingso 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.

Reviews

“This surprising and beautiful introduction to concepts of probability … chapters have been added which deal with areas of big actual interest … .” (Peter Imkeller, zbMATH 0980.60004, 2022)

From the reviews of the fourth edition:

"... a clear success in its unorthodoxy, Probability via Expectation has become a treasured classic."
P.A.L. Emrechts in "Short Book Reviews", Vol. 21/1, April, 2001

"Apart from presenting a case for the development of probability theory by using the expectation operator rather than probability measure as the primitive notion, a second distinctive feature of this book is the very large range of modern applications that it covers. Many of these are addressed by more than 350 exercises interspersed throughout the text. In summary, this well written book is a … introduction to probability theory and its applications." (Norbert Henze, Metrika, November, 2002)

"Originally published in 1970, this book has stood the test of time. … the text demonstrates a modern alternative approach to a now classical field. … The fourth edition contains a number of modifications and corrections. New material on dynamic programming, optimal allocation, options pricing and large deviations is included." (Martin T. Wells, Journal of the American Statistical Association, September 2001)

Authors and Affiliations

  • Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, England

    Peter Whittle

Bibliographic Information

  • Book Title: Probability via Expectation

  • Authors: Peter Whittle

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-0509-8

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2000

  • Hardcover ISBN: 978-0-387-98955-6Published: 20 April 2000

  • Softcover ISBN: 978-1-4612-6795-9Published: 27 September 2012

  • eBook ISBN: 978-1-4612-0509-8Published: 06 December 2012

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 4

  • Number of Pages: XXI, 353

  • Additional Information: Originally published by Penguin, 1970, and Wiley & Sons, 1976

  • Topics: Statistics, general, Probability Theory and Stochastic Processes

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