Diffusion Processes And Their Sample Paths
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Diffusion Processes and their Sample Paths
Author | : Kiyosi Itô,Henry P. Jr. McKean |
Publsiher | : Springer Science & Business Media |
Total Pages | : 341 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9783642620256 |
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Since its first publication in 1965 in the series Grundlehren der mathematischen Wissenschaften this book has had a profound and enduring influence on research into the stochastic processes associated with diffusion phenomena. Generations of mathematicians have appreciated the clarity of the descriptions given of one- or more- dimensional diffusion processes and the mathematical insight provided into Brownian motion. Now, with its republication in the Classics in Mathematics it is hoped that a new generation will be able to enjoy the classic text of Itô and McKean.
Diffusion Processes and Their Sample Paths
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Author | : K. Ito,Henry P. McKean |
Publsiher | : Unknown |
Total Pages | : 321 |
Release | : 1965 |
Genre | : Brownian motion processes |
ISBN | : 0387033025 |
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Diffusion Processes and their Sample Paths
Author | : Kiyosi Itô,Henry P. Jr. McKean |
Publsiher | : Springer |
Total Pages | : 323 |
Release | : 1974-01-01 |
Genre | : Mathematics |
ISBN | : 3540033025 |
Download Diffusion Processes and their Sample Paths Book in PDF, Epub and Kindle
Since its first publication in 1965 in the series Grundlehren der mathematischen Wissenschaften this book has had a profound and enduring influence on research into the stochastic processes associated with diffusion phenomena. Generations of mathematicians have appreciated the clarity of the descriptions given of one- or more- dimensional diffusion processes and the mathematical insight provided into Brownian motion. Now, with its republication in the Classics in Mathematics it is hoped that a new generation will be able to enjoy the classic text of Itô and McKean.
Diffusion Processes and Their Sample Paths
Author | : Kiyosi Itō,Henry P. McKean |
Publsiher | : Unknown |
Total Pages | : 344 |
Release | : 1965 |
Genre | : Brownian movements |
ISBN | : MINN:31951000956730P |
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Diffusion Processes and Their Sample Paths
Author | : Kiyosi Itō,Henry P. McKean,Henry Pratt McKean |
Publsiher | : Unknown |
Total Pages | : 352 |
Release | : 1965 |
Genre | : Brownian motion processes |
ISBN | : UOM:39015015712063 |
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Encyclopedic Dictionary of Mathematics
Author | : Nihon Sūgakkai |
Publsiher | : MIT Press |
Total Pages | : 1180 |
Release | : 1993 |
Genre | : Mathematics |
ISBN | : 0262590204 |
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V.1. A.N. v.2. O.Z. Apendices and indexes.
Multidimensional Diffusion Processes
Author | : Daniel W. Stroock,S.R.S. Varadhan |
Publsiher | : Springer |
Total Pages | : 338 |
Release | : 2007-02-03 |
Genre | : Mathematics |
ISBN | : 9783540289999 |
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From the reviews: "This book is an excellent presentation of the application of martingale theory to the theory of Markov processes, especially multidimensional diffusions. [...] This monograph can be recommended to graduate students and research workers but also to all interested in Markov processes from a more theoretical point of view." Mathematische Operationsforschung und Statistik
Stochastic Processes and Applications
Author | : Grigorios A. Pavliotis |
Publsiher | : Springer |
Total Pages | : 345 |
Release | : 2014-11-19 |
Genre | : Mathematics |
ISBN | : 9781493913237 |
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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 sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated. The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.