Probability
by Davar Khoshnevisan
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"This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones." "The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes."--BOOK JACKET
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Probabilities, Qa273 .k488 2007, 519.2| Edition | Availability |
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Includes bibliographical references (p. 209-216) and index.
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- Created August 29, 2008
- 13 revisions
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| August 30, 2024 | Edited by MARC Bot | import existing book |
| December 20, 2023 | Edited by ImportBot | import existing book |
| December 7, 2022 | Edited by ImportBot | import existing book |
| January 30, 2022 | Edited by ImportBot | import existing book |
| August 29, 2008 | Created by ImportBot | Imported from Western Washington University MARC record |