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Autor Anatolii V. Skorokhod Editat de Andrey A. Dorogovtsev, Alexey Kulik, Andrey Pilipenko, Mykola I. Portenko, Albert N. Shiryaev
en Limba Engleză Hardback – 30 mai 2016
Collectingtogether selected pioneering works of the celebrated mathematician Anatolii V.Skorokhod, this volume serves as a guide to the theory of stochastic processesfrom its beginning to its current state. It offers both an excellentbibliographic resource and a unique opportunity for readers to gain a betterunderstanding of Skorokhod’s original and beautiful ideas, which had a deepimpact on the development of the subject. The modern theory of stochasticprocesses is a fast-growing branch of probability theory which is now anindependent science in its own right, with its own methods and philosophy. Ithas many applications in various fields, including financial mathematics,quantum physics and engineering. A clear understanding of this theory isimpossible without knowledge of the ideas which form its base, many of whichare due to Skorokhod. The book is intended for a broad audience of researchersand students with an interest in probability theory, stochastic processes andtheir applications. 


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Specificații

ISBN-13: 9783319285054
ISBN-10: 331928505X
Pagini: 390
Ilustrații: XVI, 390 p. 6 illus.
Dimensiuni: 155 x 235 x 24 mm
Greutate: 0.74 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Preface.- Anatolii Volodymyrovych Skorokhod: A brief biographical outline.- 1.Limit Theorems for Stochastic Processes.- 2.Stochastic Differential Equations.- 3.Measures in Infinite Dimensional Spaces.- 4.Local Structure of Markov Processes.- 5.Random Operators and Stochastic Semigroups.- 6.Extended Stochastic Integral.- 7.Asymptotic Behavior of Stochastic Systems.- List of publications by Anatolii V. Skorokhod.​

Notă biografică

Andrey Anatolievich Dorogovtsev, born June 24, 1962. Graduated from Kyiv Taras Shevchenko University in 1984. He earned his candidate degree in 1987, and a doctoral degree in 1991. From 1987 to 2006 worked as a scientific researcher at the Institute of Mathematics (Kyiv, Ukraine). Since 2006 he has served as head of the Department of Theory of Stochastic Processes at this Institute.

Alexei Mikhailovich Kulik, born May 27, 1972.Graduated from Kyiv Taras Shevchenko University in 1994. He earned hiscandidate degree in 1996, and a doctoral degree in 2005. Since 1996 works as ascientific researcher at the Institute of Mathematics (Kyiv, Ukraine).  

Mykola Ivanovych Portenko, born February 23, 1942. Graduated from Kyiv Taras Shevchenko University in 1963. He earned his candidate degree in 1967, and a doctoral degree in 1978. From 1966 to 1972 he was a scientific researcher at the Institute of Applied Mathematics and Mechanics (Donetsk, Ukraine). Since 1972 he has worked at the Institute of Mathematics (Kyiv, Ukraine). He was elected a corresponding member of the Ukrainian Academy of Sciences in 1995.

Albert Nikolaevich Shiryaev, born October 12, 1934. Graduated from Moscow State University in 1957. Since that time he has been working at Steklov Mathematical Institute. He earned his candidate degree in 1961, and a doctoral degree in 1967. He has been a professor at the Department of Mechanics and Mathematics at Moscow State University since 1971. He was elected a corresponding member of the Russian Academy of Sciences in 1997 and made a full member in 2011.

Textul de pe ultima copertă

Collectingtogether selected pioneering works of the celebrated mathematician Anatolii V.Skorokhod, this volume serves as a guide to the theory of stochastic processesfrom its beginning to its current state. It offers both an excellentbibliographic resource and a unique opportunity for readers to gain a betterunderstanding of Skorokhod’s original and beautiful ideas, which had a deepimpact on the development of the subject. The modern theory of stochasticprocesses is a fast-growing branch of probability theory which is now anindependent science in its own right, with its own methods and philosophy. Ithas many applications in various fields, including financial mathematics,quantum physics and engineering. A clear understanding of this theory isimpossible without knowledge of the ideas which form its base, many of whichare due to Skorokhod. The book is intended for a broad audience of researchersand students with an interest in probability theory, stochastic processes andtheir applications. 



Caracteristici

Presents a collection of pioneering research papers in probability theory
Gives an excellent overview of Skorokhod's ideas and research motivations
Illustrates important results and methods
Includes supplementary material: sn.pub/extras