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Stable Convergence and Stable Limit Theorems, Erich H?usler; Harald Luschgy


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Автор: Erich H?usler; Harald Luschgy
Название:  Stable Convergence and Stable Limit Theorems
ISBN: 9783319365190
Издательство: Springer
Классификация:
ISBN-10: 3319365193
Обложка/Формат: Paperback
Страницы: 228
Вес: 0.34 кг.
Дата издания: 15.10.2016
Серия: Probability Theory and Stochastic Modelling
Язык: English
Размер: 234 x 156 x 13
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The authors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept.


Uniform Central Limit Theorems

Автор: Dudley
Название: Uniform Central Limit Theorems
ISBN: 0521738415 ISBN-13(EAN): 9780521738415
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: This second edition of a classic work has been considerably expanded and revised, now with complete proofs of all results, including several new theorems not included in the first edition, such as Talagrand`s generic chaining approach to boundedness of Gaussian processes and Gine and Zinn`s characterization of uniform Donsker classes.

Limit Theorems for Stochastic Processes

Автор: Jacod Jean, Shiryaev Albert N.
Название: Limit Theorems for Stochastic Processes
ISBN: 3540439323 ISBN-13(EAN): 9783540439325
Издательство: Springer
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Цена: 18167.00 р.
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Описание: 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 introduction to the theory of martingales and semimartingales, random measures 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. The second edition contains some additions to the text and references. Some parts are completely rewritten.

Limit Theorems For Nonlinear Cointegrating Regression

Автор: Wang Qiying
Название: Limit Theorems For Nonlinear Cointegrating Regression
ISBN: 9814675628 ISBN-13(EAN): 9789814675628
Издательство: World Scientific Publishing
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Цена: 15523.00 р.
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Описание: This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression.

Stable Convergence and Stable Limit Theorems

Автор: Hдusler Erich
Название: Stable Convergence and Stable Limit Theorems
ISBN: 3319183281 ISBN-13(EAN): 9783319183282
Издательство: Springer
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Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The authors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept.

Stable and Efficient Cubature-based Filtering in Dynamical Systems

Автор: Dominik Ballreich
Название: Stable and Efficient Cubature-based Filtering in Dynamical Systems
ISBN: 3319621297 ISBN-13(EAN): 9783319621296
Издательство: Springer
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Цена: 11878.00 р.
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Описание: The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical integration, which can be used to speed up and stabilize filter algorithms.

Potential Analysis of Stable Processes and its Extensions

Автор: Piotr Graczyk; Krzysztof Bogdan; Tomasz Byczkowski
Название: Potential Analysis of Stable Processes and its Extensions
ISBN: 3642021409 ISBN-13(EAN): 9783642021404
Издательство: Springer
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Цена: 6288.00 р.
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Описание: Deals with the potential theory of stable stochastic processes. This book also deals with related topics, such as the subordinate Brownian motions and Feynman-Kac semigroups generated by certain Schroedinger operators. It focuses on classes of stable and related processes that contain the Brownian motion as a special case.

Stable Non-Gaussian Self-Similar Processes with Stationary Increments

Автор: Vladas Pipiras; Murad S. Taqqu
Название: Stable Non-Gaussian Self-Similar Processes with Stationary Increments
ISBN: 3319623303 ISBN-13(EAN): 9783319623306
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity.

Limit Theorems for Stochastic Processes

Название: Limit Theorems for Stochastic Processes
ISBN: 144711051X ISBN-13(EAN): 9781447110514
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume is the first to present a state-of-the-art overview of this field, with many results published for the first time. It covers the general conditions as well as the basic applications of the theory, and it covers and demystifies the vast and technically demanding Russian literature in detail.

Uniform Central Limit Theorems

Автор: Dudley
Название: Uniform Central Limit Theorems
ISBN: 0521498848 ISBN-13(EAN): 9780521498845
Издательство: Cambridge Academ
Рейтинг:
Цена: 14731.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This second edition of a classic work has been considerably expanded and revised, now with complete proofs of all results, including several new theorems not included in the first edition, such as Talagrand`s generic chaining approach to boundedness of Gaussian processes and Gine and Zinn`s characterization of uniform Donsker classes.

Limit Theorems in Probability, Statistics and Number Theory

Автор: Eichelsbacher Peter
Название: Limit Theorems in Probability, Statistics and Number Theory
ISBN: 364236067X ISBN-13(EAN): 9783642360671
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

​Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them combine asymptotic enumerative combinatorics, particle systems and approximation theory, and are important for new approaches in geometric and metric number theory as well. Thus, the contributions in this book include a wide range of applications with surprising connections ranging from longest common subsequences for words, permutation groups, random matrices and free probability to entropy problems and metric number theory.

The book is the product of a conference that took place in August 2011 in Bielefeld, Germany to celebrate the 60th birthday of Friedrich G tze, a noted expert in this field.


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