Radiation-Induced Processes of Adaptation, Victoria L. Korogodina; Boris Florko; Ludmila P. O

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Цена: 8384.00 р.
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Автор: Grimmett
Название: Probability and Random Processes 3ed
ISBN: 0198572220 ISBN-13(EAN): 9780198572220
Издательство: Oxford Academ
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Цена: 7206.00 р.
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Описание: Love Your Home is an inspiring and thought-provoking sourcebook of ideas for home design. It explores the concept of `home` and its role as a private retreat and sanctuary, as well as a social hub for entertaining and the centre of family life. Provides an introduction to probability and random processes and their practical applications. This third edition emphasizes modeling and understanding rather than abstraction. Many important random processes are developed in the text through examples. It includes exercises and problems, with solutions provided in the companion volume.

Автор: Beran Jan
Название: Long Memory Processes
ISBN: 3642355110 ISBN-13(EAN): 9783642355110
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This detailed review of long memory processes includes a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Includes proofs and data examples.

Автор: Bertoin, Jean
Название: Levy processes
ISBN: 0521646324 ISBN-13(EAN): 9780521646321
Издательство: Cambridge Academ
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Цена: 11563.00 р.
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Описание: This 1996 book is a comprehensive account of the theory of Levy processes. Professor Bertoin uses the interplay between the probabilistic structure and analytic tools to give a quick and concise treatment of the core theory, with the minimum of technical requirements.

Автор: Kyprianou, Andreas E.
Название: Fluctuations of Levy Processes with Applications
ISBN: 3642376312 ISBN-13(EAN): 9783642376313
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book examines the theory and application of Levy processes from the perspective of their path fluctuations. It covers the decomposition of paths in terms of excursions from the running maximum as well as an understanding of short- and long-term behaviour.

Автор: Richard Boucherie; Nico M van Dijk
Название: Markov Decision Processes in Practice
ISBN: 3319477641 ISBN-13(EAN): 9783319477640
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.

Автор: E.G. Phadia.
Название: Prior Processes and Their Applications
ISBN: 3642392792 ISBN-13(EAN): 9783642392795
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the last four decades in order to deal with the Bayesian approach to solving some nonparametric inference problems.

Автор: Kay
Название: Intuitive Probability and Random Processes using MATLAB®
ISBN: 0387241574 ISBN-13(EAN): 9780387241579
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Offering an introduction to probability and random processes, this book merges theory with practice. It is suitable for undergraduate and first-year graduate students in engineering, practicing engineers as well as others having appropriate mathematical background.

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.

Автор: Liptser Robert S., Shiryaev Albert N., Aries B.
Название: Statistics of Random Processes / I. General Theory
ISBN: 3540639292 ISBN-13(EAN): 9783540639299
Издательство: Springer
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Цена: 11878.00 р.
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Описание: The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, and sequential testing of hypothesis. The book is not only addressed to mathematicians but should also serve the interests of other scientists who apply probabilistic and statistical methods in their work. The theory of martingales presented in the book has an independent interest in connection with problems from financial mathematics. In the second edition, the authors have made numerous corrections, updating every chapter, adding two new subsections devoted to the Kalman filter under wrong initial conditions, as well as a new chapter devoted to asymptotically optimal filtering under diffusion approximation. Moreover, in each chapter a comment is added about the progress of recent years.

Автор: Liptser Robert S., Shiryaev Albert N., Aries A.B.
Название: Statistics of Random Processes / II. Applications
ISBN: 3540639284 ISBN-13(EAN): 9783540639282
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, and sequential testing of hypothesis. The book is not only addressed to mathematicians but should also serve the interests of other scientists who apply probabilistic and statistical methods in their work. The theory of martingales presented in the book has an independent interest in connection with problems from financial mathematics. In the second edition, the authors have made numerous corrections, updating every chapter, adding two new subsections devoted to the Kalman filter under wrong initial conditions, as well as a new chapter devoted to asymptotically optimal filtering under diffusion approximation. Moreover, in each chapter a comment is added about the progress of recent years.