This book offers an analytical approach to shastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.
This book offers an analytical approach to shastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.

Theory and Applications of Stochastic Processes: An Analytical Approach
468
Theory and Applications of Stochastic Processes: An Analytical Approach
468Product Details
ISBN-13: | 9781461425427 |
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Publisher: | Springer New York |
Publication date: | 02/29/2012 |
Series: | Applied Mathematical Sciences , #170 |
Edition description: | 2010 |
Pages: | 468 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.04(d) |