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A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this book
It is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.
This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.
Limit theorems for associated random fields and related systems Автор: Alexander Bulinski Год: 2007 |
Random walk in random and non random environments Автор: Pal Revesz Год: 1990 |
Limit Theorems for Associated Random Fields and Related Systems Автор: Alexander Bulinski Год: 2007 |
Duelling idiots and other probability puzzlers Автор: Paul J. Nahin Год: 2000 |
Chance rules: an informal guide to probability, risk and statistics Автор: Brian Everitt Год: 2008 |