| 000 | 02321cam a2200301 a 4500 | ||
|---|---|---|---|
| 001 | 16307420 | ||
| 003 | O | ||
| 005 | 20140923131113.0 | ||
| 008 | 100628s2011 nyu b 001 0 eng | ||
| 010 | _a 2010027652 | ||
| 020 | _a9780521761581 (hardback) | ||
| 020 | _a9780521132503 (pbk.) | ||
| 040 |
_aPUL _cPUL _dPUL |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA273 _b.S763 2011 |
| 100 | 1 | _aStroock, Daniel W. | |
| 245 | 1 | 0 |
_aProbability theory : _ban analytic view / _cDaniel W. Stroock. |
| 250 | _a2nd ed. | ||
| 260 |
_aCambridge ; _aNew York : _bCambridge University Press, _c2011. |
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| 300 |
_axxi, 527 p. ; _c27 cm. |
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| 504 | _aIncludes bibliographical references and index. | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probability theory and a sound grounding in analysis. It is intended to provide readers with an introduction to probability theory and the analytic ideas and tools on which the modern theory relies. It includes more than 750 exercises. Much of the content has undergone significant revision. In particular, the treatment of Levy processes has been rewritten, and a detailed account of Gaussian measures on a Banach space is given. The first part of the book deals with independent random variables, Central Limit phenomena, and the construction of Levy processes, including Brownian motion. Conditioning is developed and applied to discrete parameter martingales in Chapter 5, Chapter 6 contains the ergodic theorem and Burkholder's inequality, and continuous parameter martingales are discussed in Chapter 7. Chapter 8 is devoted to Gaussian measures on a Banach space, where they are treated from the abstract Wiener space perspective. The abstract theory of weak convergence is developed in Chapter 9, which ends with a proof of Donsker's Invariance Principle. The concluding two chapters contain applications of Brownian motion to the analysis of partial differential equations and potential theory"-- | ||
| 650 | 0 | _aProbabilities. | |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2lcc _cBK |
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| 999 |
_c24094 _d24094 |
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