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Random Evolutions and Their Applications, Anatoly Swishchuk


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Автор: Anatoly Swishchuk
Название:  Random Evolutions and Their Applications
ISBN: 9780792345336
Издательство: Springer
Классификация:
ISBN-10: 0792345339
Обложка/Формат: Hardcover
Страницы: 183
Вес: 0.49 кг.
Дата издания: 30.04.1997
Серия: Mathematics and Its Applications
Язык: English
Размер: 234 x 156 x 14
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Covers random evolutions and their applications. This book summarizes and puts in order the ideas, methods, results and literature on the theory of random evolutions since 1969 and their applications to the evolutionary stochastic systems in random media, and also to point out some fresh trends.


Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Цена: 10611.00 р.
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Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

System Signatures and their Applications in Engineering Reliability

Автор: Francisco J. Samaniego
Название: System Signatures and their Applications in Engineering Reliability
ISBN: 1441944141 ISBN-13(EAN): 9781441944146
Издательство: Springer
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Цена: 16977.00 р.
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Описание: Since the introduction of system signatures in Francisco Samaniego`s 1985 paper, the properties of this technical concept have been examined, tested and proven in a wide variety of systems applications.

Prior Processes and Their Applications

Автор: Phadia
Название: Prior Processes and Their Applications
ISBN: 3319327887 ISBN-13(EAN): 9783319327884
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has been substantially expanded to reflect the current interest in this area. After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process. It subsequently discusses various neutral to right type processes, including gamma and extended gamma, beta and beta-Stacy processes, and then describes the Chinese Restaurant, Indian Buffet and infinite gamma-Poisson processes, which prove to be very useful in areas such as machine learning, information retrieval and featural modeling. Tailfree and Polya tree and their extensions form a separate chapter, while the last two chapters present the Bayesian solutions to certain estimation problems pertaining to the distribution function and its functional based on complete data as well as right censored data. Because of the conjugacy property of some of these processes, most solutions are presented in closed form. However, the current interest in modeling and treating large-scale and complex data also poses a problem – the posterior distribution, which is essential to Bayesian analysis, is invariably not in a closed form, making it necessary to resort to simulation. Accordingly, the book also introduces several computational procedures, such as the Gibbs sampler, Blocked Gibbs sampler and slice sampling, highlighting essential steps of algorithms while discussing specific models. In addition, it features crucial steps of proofs and derivations, explains the relationships between different processes and provides further clarifications to promote a deeper understanding. Lastly, it includes a comprehensive list of references, equipping readers to explore further on their own.

Random Evolutions and their Applications

Автор: Anatoly Swishchuk
Название: Random Evolutions and their Applications
ISBN: 0792362640 ISBN-13(EAN): 9780792362647
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Devoted to new trends in random evolution and their applications to the stochastic evolutionary system, this work contains new developments such as an analogue of Dynkin`s formula, boundary value problems, stability and control of random evolutions, stochastic evolutionary equations, and driven martingale measures.

Prior Processes and Their Applications

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.

Markov Decision Processes with Their Applications

Автор: Qiying Hu; Wuyi Yue
Название: Markov Decision Processes with Their Applications
ISBN: 1441942386 ISBN-13(EAN): 9781441942388
Издательство: Springer
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Цена: 23058.00 р.
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Описание:

Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs, continuous-time MDPs and semi-Markov decision processes. Starting from these three branches, many generalized MDPs models have been applied to various practical problems. These models include partially observable MDPs, adaptive MDPs, MDPs in stochastic environments, and MDPs with multiple objectives, constraints or imprecise parameters.

Markov Decision Processes With Their Applications examines MDPs and their applications in the optimal control of discrete event systems (DESs), optimal replacement, and optimal allocations in sequential online auctions. The book presents four main topics that are used to study optimal control problems: a new methodology for MDPs with discounted total reward criterion; transformation of continuous-time MDPs and semi-Markov decision processes into a discrete-time MDPs model, thereby simplifying the application of MDPs; MDPs in stochastic environments, which greatly extends the area where MDPs can be applied; applications of MDPs in optimal control of discrete event systems, optimal replacement, and optimal allocation in sequential online auctions.

This book is intended for researchers, mathematicians, advanced graduate students, and engineers who are interested in optimal control, operation research, communications, manufacturing, economics, and electronic commerce.

First-passage Phenomena and Their Applications

Автор: Metzler Ralf
Название: First-passage Phenomena and Their Applications
ISBN: 9814590282 ISBN-13(EAN): 9789814590280
Издательство: World Scientific Publishing
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Цена: 30888.00 р.
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Описание: The book contains review articles on recent advances in first-passage phenomena and applications contributed by leading international experts. It is intended for graduate students and researchers who are interested in learning about this intriguing and important topic.

Statistical Causal Inferences and Their Applications in Public Health Research

Автор: He
Название: Statistical Causal Inferences and Their Applications in Public Health Research
ISBN: 3319412574 ISBN-13(EAN): 9783319412573
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Master's or Doctorate). It is particularly relevant for students pursuing degrees in statistics, biostatistics, and computational biology. Researchers and data analysts in public health and biomedical research will also find this book to be an important reference.

Branching Processes and Their Applications

Автор: del Puerto
Название: Branching Processes and Their Applications
ISBN: 3319316397 ISBN-13(EAN): 9783319316390
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This volume gathers papers originally presented at the 3rd Workshop on Branching Processes and their Applications (WBPA15), which was held from 7 to 10 April 2015 in Badajoz, Spain (http://branching.unex.es/wbpa15/index.htm).

Topological Vector Spaces and Their Applications

Автор: V.I. Bogachev; O.G. Smolyanov
Название: Topological Vector Spaces and Their Applications
ISBN: 3319571168 ISBN-13(EAN): 9783319571164
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book gives a compact exposition of the fundamentals of the theory of locally convex topological vector spaces. Overall, this book develops differential and integral calculus on infinite-dimensional locally convex spaces by using methods and techniques of the theory of locally convex spaces.

Normal and Student?s t Distributions and Their Applications

Автор: Mohammad Ahsanullah; B.M. Golam Kibria; Mohammad S
Название: Normal and Student?s t Distributions and Their Applications
ISBN: 9462390606 ISBN-13(EAN): 9789462390607
Издательство: Springer
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Цена: 5589.00 р.
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Описание: The most important properties of normal and Student t-distributions are presented. New related results dealing with the distributions of the sum, product and ratio of the independent normal and Student distributions are presented.

Stochastic Models, Statistics and Their Applications

Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza
Название: Stochastic Models, Statistics and Their Applications
ISBN: 3319138804 ISBN-13(EAN): 9783319138800
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Preliminary: Part I: Stochastic Models.- Part II: Statistics.- Part III: Applications.


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