Description

Book Synopsis


Trade Review
... I regard this book highly, and I recommend it for course use as well as for independent study." - MAA Reviews

"This book is a very thorough advanced undergraduate/beginning graduate course on probability theory for students who have a good background in modern mathematical ideas. ... [W]hat distinguishes this book from its many competitors is the thoroughness of argument, and the tasteful choice of auxiliary topics that complement the main menu. ... The book is replete with carefully chosen exercise for readers to test their understanding. Another nice touch is that the author always takes care to let the reader know who originally came up with a particularly clever argument or method. In this way, readers get a healthy exposure to ways of thinking originating from Doeblin, Doob, Dynkin, Huygens, Kac, Kolmogorov, Livy, Marcinkiewicz and Wiener, among many others. This is a very good book on which to base a graduate course or to use for self-study." - David Applebaum, University of Sheffield, South Yorkshire, UK

"Mathematics of Probability is a very enjoyable book. It is definitely a book for graduate students, but it manages to begin exploring the subject without a lot of prerequisites. ... It manages to discuss rigorously, and in a mostly self-contained manner, advanced topics which are not found in undergraduate books. ... It is a good book for independent study. It does not overwhelm the reader with exercises (each section ends with several problems). The footnotes and the comments at the end of each chapter are to the point and help the reader keep focus. ... All in all, I regard this book highly and I recommend it for course use as well as for independent study." - Florin Catrina, MAA Reviews

Table of Contents
  • Preface
  • Some background and preliminaries
  • Probability theory on uncountable sample spaces
  • Some applications to probability theory
  • The central limit theorem and Gaussian distributions
  • Discrete parameter stochastic processes
  • Some continuous-time processes
  • Martingales
  • Notation
  • Bibliography
  • Index

Mathematics of Probability

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    £108.00

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    RRP £120.00 – you save £12.00 (10%)

    Order before 4pm tomorrow for delivery by Mon 22 Jun 2026.

    A Hardback by Daniel W. Stroock

    1 in stock


      View other formats and editions of Mathematics of Probability by Daniel W. Stroock

      Publisher: MP-AMM American Mathematical
      Publication Date: 8/30/2013 12:00:00 AM
      ISBN13: 9781470409074, 978-1470409074
      ISBN10: 1470409070

      Description

      Book Synopsis


      Trade Review
      ... I regard this book highly, and I recommend it for course use as well as for independent study." - MAA Reviews

      "This book is a very thorough advanced undergraduate/beginning graduate course on probability theory for students who have a good background in modern mathematical ideas. ... [W]hat distinguishes this book from its many competitors is the thoroughness of argument, and the tasteful choice of auxiliary topics that complement the main menu. ... The book is replete with carefully chosen exercise for readers to test their understanding. Another nice touch is that the author always takes care to let the reader know who originally came up with a particularly clever argument or method. In this way, readers get a healthy exposure to ways of thinking originating from Doeblin, Doob, Dynkin, Huygens, Kac, Kolmogorov, Livy, Marcinkiewicz and Wiener, among many others. This is a very good book on which to base a graduate course or to use for self-study." - David Applebaum, University of Sheffield, South Yorkshire, UK

      "Mathematics of Probability is a very enjoyable book. It is definitely a book for graduate students, but it manages to begin exploring the subject without a lot of prerequisites. ... It manages to discuss rigorously, and in a mostly self-contained manner, advanced topics which are not found in undergraduate books. ... It is a good book for independent study. It does not overwhelm the reader with exercises (each section ends with several problems). The footnotes and the comments at the end of each chapter are to the point and help the reader keep focus. ... All in all, I regard this book highly and I recommend it for course use as well as for independent study." - Florin Catrina, MAA Reviews

      Table of Contents
      • Preface
      • Some background and preliminaries
      • Probability theory on uncountable sample spaces
      • Some applications to probability theory
      • The central limit theorem and Gaussian distributions
      • Discrete parameter stochastic processes
      • Some continuous-time processes
      • Martingales
      • Notation
      • Bibliography
      • Index

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