Stochastic Processes

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This is a brief introduction to stochastic processes studying certain elementary continuous-time processes. After a description of the Poisson process and related processes with independent increments as well as a brief look at Markov processes with a finite number of jumps, the author proceeds to introduce Brownian motion and to develop stochastic integrals and Itô's theory in the context of one-dimensional diffusion processes. The book ends with a brief survey of the general theory of Markov processes. The book is based on courses given by the author at the Courant Institute and can be used as a sequel to the author's successful book Probability Theory in this series. Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.

Author(s): S. R. S. Varadhan
Series: Courant Lecture Notes
Publisher: American Mathematical Society
Year: 2007

Language: English
Pages: 126
Tags: Probability & Statistics;Applied;Mathematics;Science & Math;Statistics;Mathematics;Science & Mathematics