The Theory of Stochastic Processes I

The Theory of Stochastic Processes I PDF Author: Iosif I. Gikhman
Publisher: Springer
ISBN: 3642619436
Category : Mathematics
Languages : en
Pages : 587

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Book Description
From the Reviews: "Gihman and Skorohod have done an excellent job of presenting the theory in its present state of rich imperfection." --D.W. Stroock, Bulletin of the American Mathematical Society, 1980

The Theory of Stochastic Processes I

The Theory of Stochastic Processes I PDF Author: Iosif I. Gikhman
Publisher: Springer
ISBN: 3642619436
Category : Mathematics
Languages : en
Pages : 587

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Book Description
From the Reviews: "Gihman and Skorohod have done an excellent job of presenting the theory in its present state of rich imperfection." --D.W. Stroock, Bulletin of the American Mathematical Society, 1980

The Theory of Stochastic Processes III

The Theory of Stochastic Processes III PDF Author: I. I. Gihman
Publisher: Springer Science & Business Media
ISBN: 146158065X
Category : Mathematics
Languages : en
Pages : 393

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Book Description
It was originally planned that the Theory of Stochastic Processes would consist of two volumes: the first to be devoted to general problems and the second to specific cJasses of random processes. It became apparent, however, that the amount of material related to specific problems of the theory could not possibly be incJuded in one volume. This is how the present third volume came into being. This voJume contains the theory of martingales, stochastic integrals, stochastic differential equations, diffusion, and continuous Markov processes. The theory of stochastic processes is an actively developing branch of mathe matics, and it would be an unreasonable and impossible task to attempt to encompass it in a single treatise (even a multivolume one). Therefore, the authors, guided by their own considerations concerning the relative importance of various results, naturally had to be selective in their choice of material. The authors are fully aware that such a selective process is not perfecL Even a number of topics that are, in the authors' opinion, of great importance could not be incJuded, for example, limit theorems for particular cJasses of random processes, the theory of random fields, conditional Markov processes, and information and statistics of random processes. With the publication of this last volume, we recall with gratitude oUf associates who assisted us in this endeavor, and express our sincere thanks to G.N. Sytaya, L.V. Lobanova, P.V. Boiko, N.F. Ryabova, N.A. Skorohod, V.V. Skorohod, N.I. Portenko, and L.I. Gab.

Probability Theory III

Probability Theory III PDF Author: Yurij V. Prokhorov
Publisher: Springer Science & Business Media
ISBN: 3662036401
Category : Mathematics
Languages : en
Pages : 260

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Book Description
This volume of the Encyclopaedia is a survey of stochastic calculus, an increasingly important part of probability, authored by well-known experts in the field. The book addresses graduate students and researchers in probability theory and mathematical statistics, as well as physicists and engineers who need to apply stochastic methods.

Probability Theory and Stochastic Processes

Probability Theory and Stochastic Processes PDF Author: Pierre Brémaud
Publisher: Springer Nature
ISBN: 3030401839
Category : Mathematics
Languages : en
Pages : 713

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Book Description
The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance, finance, biology, physics, computer and communications networks, and signal processing. In order to help the reader to reach a level of technical autonomy sufficient to understand the presented models, this book includes a reasonable dose of probability theory. On the other hand, the study of stochastic processes gives an opportunity to apply the main theoretical results of probability theory beyond classroom examples and in a non-trivial manner that makes this discipline look more attractive to the applications-oriented student. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes. There is sufficient modularity for the instructor or the self-teaching reader to design a course or a study program adapted to her/his specific needs. This book is in a large measure self-contained.

The Theory of Stochastic Processes III

The Theory of Stochastic Processes III PDF Author: Iosif I. Gikhman
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 404

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Book Description
This work presents the theory of stochastic processes in its present state of rich imperfection. It is more than an encyclopedic work. Some parts read like a textbook, but others are more technical and contain relatively new results.

Lectures on the Theory of Stochastic Processes

Lectures on the Theory of Stochastic Processes PDF Author: Anatolij V. Skorochod
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110618168
Category : Mathematics
Languages : en
Pages : 192

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Book Description
No detailed description available for "Lectures on the Theory of Stochastic Processes".

Theory and Applications of Stochastic Processes

Theory and Applications of Stochastic Processes PDF Author: Zeev Schuss
Publisher: Springer Science & Business Media
ISBN: 1441916059
Category : Mathematics
Languages : en
Pages : 486

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Book Description
Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical. This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.

Limit Theorems for Stochastic Processes

Limit Theorems for Stochastic Processes PDF Author: Jean Jacod
Publisher: Springer Science & Business Media
ISBN: 3662025140
Category : Mathematics
Languages : en
Pages : 620

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Book Description
Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochastic integrals. Apart from a few exceptions essentially concerning diffusion processes, it is only recently that the relation between the two theories has been thoroughly studied. The authors of this Grundlehren volume, two of the international leaders in the field, propose a systematic exposition of convergence in law for stochastic processes, from the point of view of semimartingale theory, with emphasis on results that are useful for mathematical theory and mathematical statistics. This leads them to develop in detail some particularly useful parts of the general theory of stochastic processes, such as martingale problems, and absolute continuity or contiguity results. The book contains an elementary introduction to the main topics: theory of martingales and stochastic integrales, Skorokhod topology, etc., as well as a large number of results which have never appeared in book form, and some entirely new results. It should be useful to the professional probabilist or mathematical statistician, and of interest also to graduate students.

The Theory of Stochastic Processes III

The Theory of Stochastic Processes III PDF Author: I. I. Gihman
Publisher: Springer
ISBN: 9781461580676
Category : Mathematics
Languages : en
Pages : 388

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Book Description
It was originally planned that the Theory of Stochastic Processes would consist of two volumes: the first to be devoted to general problems and the second to specific cJasses of random processes. It became apparent, however, that the amount of material related to specific problems of the theory could not possibly be incJuded in one volume. This is how the present third volume came into being. This voJume contains the theory of martingales, stochastic integrals, stochastic differential equations, diffusion, and continuous Markov processes. The theory of stochastic processes is an actively developing branch of mathe matics, and it would be an unreasonable and impossible task to attempt to encompass it in a single treatise (even a multivolume one). Therefore, the authors, guided by their own considerations concerning the relative importance of various results, naturally had to be selective in their choice of material. The authors are fully aware that such a selective process is not perfecL Even a number of topics that are, in the authors' opinion, of great importance could not be incJuded, for example, limit theorems for particular cJasses of random processes, the theory of random fields, conditional Markov processes, and information and statistics of random processes. With the publication of this last volume, we recall with gratitude oUf associates who assisted us in this endeavor, and express our sincere thanks to G. N. Sytaya, L. V. Lobanova, P. V. Boiko, N. F. Ryabova, N. A. Skorohod, V. V. Skorohod, N. I. Portenko, and L. I. Gab.

The Theory of Stochastic Processes II

The Theory of Stochastic Processes II PDF Author: I.I. Gikhman
Publisher: Springer Science & Business Media
ISBN: 9783540202851
Category : Mathematics
Languages : en
Pages : 464

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Book Description
From the Reviews: "To call this work encyclopedic would not give an accurate picture of its content and style. Some parts read like a textbook, but others are more technical and contain relatively new results. ... The exposition is robust and explicit, as one has come to expect of the Russian tradition of mathematical writing." --K.L. Chung, American Scientist, 1977