Studies in the Theory of Random Processes
(eBook)

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Published
Dover Publications, 2014.
Status
Available Online

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Format
eBook
Language
English
ISBN
9780486781464

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Citations

APA Citation, 7th Edition (style guide)

A. V. Skhorokhod., & A. V. Skhorokhod|AUTHOR. (2014). Studies in the Theory of Random Processes . Dover Publications.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

A. V. Skhorokhod and A. V. Skhorokhod|AUTHOR. 2014. Studies in the Theory of Random Processes. Dover Publications.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

A. V. Skhorokhod and A. V. Skhorokhod|AUTHOR. Studies in the Theory of Random Processes Dover Publications, 2014.

MLA Citation, 9th Edition (style guide)

A. V. Skhorokhod, and A. V. Skhorokhod|AUTHOR. Studies in the Theory of Random Processes Dover Publications, 2014.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID77d2e4cb-481c-3859-baaa-4ee430407e8c-eng
Full titlestudies in the theory of random processes
Authorskhorokhod a v
Grouping Categorybook
Last Update2023-12-01 18:07:10PM
Last Indexed2024-04-13 04:03:56AM

Book Cover Information

Image Sourcehoopla
First LoadedSep 9, 2023
Last UsedSep 9, 2023

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    [synopsis] => This text is devoted to the development of certain probabilistic methods in the specific field of stochastic differential equations and limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important theorems as well as a remarkable amount of advanced material in compact form. The treatment begins by introducing the basic facts of the theory of random processes and constructing the auxiliary apparatus of stochastic integrals. All proofs are presented in full. Succeeding chapters explore the theory of stochastic differential equations, permitting the construction of a broad class of Markov processes on the basis of simple processes. The final chapters are devoted to various limit theorems connected with the convergence of a sequence of Markov chains to a Markov process with continuous time. Topics include the probability method of estimating how fast the sequence converges in the limit theorems and the precision of the limit theorems.
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