An Introduction to Markov Processes

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This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. A whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium.

Author(s): Daniel W. Stroock
Series: Graduate Texts in Mathematics
Publisher: Springer
Year: 2004

Language: English
Pages: 178