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Stable Convergence and Stable Limit Theorems, Hдusler Erich


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Автор: Hдusler Erich
Название:  Stable Convergence and Stable Limit Theorems
ISBN: 9783319183282
Издательство: Springer
Классификация:

ISBN-10: 3319183281
Обложка/Формат: Hardcover
Страницы: 228
Вес: 0.51 кг.
Дата издания: 09.06.2015
Серия: Probability theory and stochastic modelling
Язык: English
Издание: 2015 ed.
Иллюстрации: Biography
Размер: 167 x 242 x 23
Читательская аудитория: Professional & vocational
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.


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.

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.

Stable Convergence and Stable Limit Theorems

Автор: Erich H?usler; Harald Luschgy
Название: Stable Convergence and Stable Limit Theorems
ISBN: 3319365193 ISBN-13(EAN): 9783319365190
Издательство: Springer
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Цена: 9781.00 р.
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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 Adaptive Neural Network Control

Автор: S.S. Ge; C.C. Hang; T.H. Lee; Tao Zhang
Название: Stable Adaptive Neural Network Control
ISBN: 1441949321 ISBN-13(EAN): 9781441949325
Издательство: Springer
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Цена: 28732.00 р.
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Описание: Recent years have seen a rapid development of neural network control tech- niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec- tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications.

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.

Dynamics of quasi-stable dissipative systems

Автор: Chueshov, Igor
Название: Dynamics of quasi-stable dissipative systems
ISBN: 3319229028 ISBN-13(EAN): 9783319229027
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Dynamics of Quasi-Stable Dissipative Systems

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.

Introduction to Structurally Stable Systems of Differential Equations

Автор: S.Y. Pilyugin
Название: Introduction to Structurally Stable Systems of Differential Equations
ISBN: 303489712X ISBN-13(EAN): 9783034897129
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book is based on a one year course of lectures on structural sta- bility of differential equations which the author has given for the past several years at the Department of Mathematics and Mechanics at the University of Leningrad.

Discretization Methods for Stable Initial Value Problems

Автор: E. Gekeler
Название: Discretization Methods for Stable Initial Value Problems
ISBN: 3540128808 ISBN-13(EAN): 9783540128809
Издательство: Springer
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Цена: 6288.00 р.
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Stochastic Space—Time Models and Limit Theorems

Автор: L. Arnold; P. Kotelenez
Название: Stochastic Space—Time Models and Limit Theorems
ISBN: 902772038X ISBN-13(EAN): 9789027720382
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Approach your problems from It isn't that they can't see the right end and begin with the solution. the answers. Then one day, It is that they can't see the perhaps you will find the problem. final question. G.K. Chesterton. The Scandal 'The Hermit Clad 1n Crane of Father Brown 'The Point of Feathers' in R. van Gulik's a Pin'. The Chinese Maze Murders. Growing specialisation and diversification have brought a host of monographs and textbooks on increasingly specialized topics. However, the "tree" of knowledge of mathematics and related fields does not grow only by putting forth new branches. It also happens, quite often in fact, that branches wich were thought to be completely disparate are suddenly seen to be related. Further, the kind and level of sophistication of mathematics applied in various sciences has changed drastically in recent years: measure theory is used (non-trivially) in regional and theoretical economics; algebraic geometry interacts with physics; the Minkowsky lemma, coding theory and the structure of water meet one another in packing and covering theory; quantum fields, crystal defects and mathematical programming profit from homotopy theory; Lie algebras are relevant to filtering; and prediction and electrical engineering can use Stein spaces. And in addition to this there are such new emerging subdisciplines as "experimental mathematics", "CFD", "completely integrable systems", "chaos, synergetics and large-scale order", which are almost impossible to fit into the existing classification schemes. They draw upon widely different sections of mathematics.

Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables

Автор: Shoumei Li; Y. Ogura; V. Kreinovich
Название: Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables
ISBN: 9048161398 ISBN-13(EAN): 9789048161393
Издательство: Springer
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Цена: 13974.00 р.
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Описание: After the pioneering works by Robbins {1944, 1945) and Choquet (1955), the notation of a set-valued random variable (called a random closed set in literatures) was systematically introduced by Kendall {1974) and Matheron {1975).


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