From Measures to It�o Integrals
"From Measures to It�o Integrals gives a clear account of measure theory, leading via L2-theory to Brownian motion, It�o integrals and a brief look at martingale calculus. Modern probability theory and the applications of stochastic processes rely heavily on an understanding of basic measure th...
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| 格式: | 电子 电子书 |
| 语言: | 英语 |
| 出版: |
Cambridge [England] ; New York :
Cambridge University Press,
2011.
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| 丛编: | AIMS library series.
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| 在线阅读: | An electronic book accessible through the World Wide Web; click to view |
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书本目录:
- Machine generated contents note: Preface; 1. Probability and measure; 2. Measures and distribution functions; 3. Measurable functions/random variables; 4. Integration and expectation; 5. Lp-spaces and conditional expectation; 6. Discrete-time martingales; 7. Brownian motion; 8. Stochastic integrals; Bibliography; Index.