Stochastic Processes
Lectures given at Aarhus University
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Beschreibung
A readily accessible introduction to the theory of stochastic processes with emphasis on processes with independent increments and Markov processes. After preliminaries on infinitely divisible distributions and martingales, Chapter 1 gives a thorough treatment of the decomposition of paths of processes with independent increments. Chapter 2 contains a detailed treatment of time-homogeneous Markov processes from the viewpoint of probability measures on path space. Two separate Sections present about 70 exercises and their complete solutions. The text and exercises are carefully edited and footnoted, while retaining the style of the original lecture notes from Aarhus University.
Very gentle and detailed introduction to the theory of stochastic processes with emphasis on Levy processes and Markov processes Exercises (about 70) are accompanied by complete solutions Proof by Ito himself of the celebrated Levy-Ito decomposition of paths of Levy processes Carefully edited and footnoted, while retaining the lecturing style of the original notes Includes supplementary material: sn.pub/extras
Autor*in
Kiyosi Ito
Themen in »Stochastic Processes«
Lévy processes Markov process Markov processes Martingale Stochastic processes additive processes infinitely divisible distributions path space processes with independent increments stochastic process
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From the reviews:
"The book can be recommended as a fine introduction to such important branches of stochastic process theory as the theories of processes with independent increments and of Markov processes. It will be a valuable acquisition for any mathematical library. The text of the book has been carefully prepared by the editors … ." (M.G. Shur, Mathematical Reviews, 2005e)
"The book under review is in fact an advanced text suitable for graduate students and based around two topics-the structure of additive processes … and the basic theory of Markov processes, which generalises Markov chains to continuous time and fairly general state spaces. … a nice introduction to Markov processes making extensive use of semigroup techniques. … The book concludes with a number of exercises accompanied by worked solutions." (David Applebaum, The Mathematical Gazette, March, 2005)
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