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Large Deviations for Stochastic Processes - Mathematical Surveys and Monographs Jin Feng
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Large Deviations for Stochastic Processes - Mathematical Surveys and Monographs
Jin Feng
Examines the results on large deviations for a class of stochastic processes. Part 1 gives necessary and sufficient conditions for exponential tightness that are analogous to conditions for tightness in the theory of weak convergence. Part 2 focuses on Markov processes in metric spaces. Part 3 discusses methods for verifying the comparison principle for viscosity solutions.
410 pages
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de diciembre de 2006 |
| ISBN13 | 9781470418700 |
| Editores | American Mathematical Society |
| Páginas | 410 |
| Dimensiones | 150 × 220 × 10 mm · 757 g |
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