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Kiyosi Itô's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller theory o
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This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sci
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Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students f
Markov Processes, Semigroups, and Generators
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This work offers a highly useful, well developed reference on Markov processes, the universal model for random processes and evolutions. The wide range of appli