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This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its applications. The authors focus on developi
Topics in Stochastic Processes
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Topics in Stochastic Processes covers specific processes that have a definite physical interpretation and that explicit numerical results can be obtained. This
Applied Stochastic Differential Equations
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An Introduction to Continuous-Time Stochastic Processes
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Expanding on the first edition of An Introduction to Continuous-Time Stochastic Processes, this concisely written book is a rigorous and self-contained introduc
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Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations.