Workshop on Branching Processes and Their Applications, Miguel Gonz?lez; In?s M. Puerto; Rodrigo Mart?nez;

Автор: del Puerto
Название: Branching Processes and Their Applications
ISBN: 3319316397 ISBN-13(EAN): 9783319316390
Издательство: Springer
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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).

Автор: Marek Kimmel; David E. Axelrod
Название: Branching Processes in Biology
ISBN: 1493915584 ISBN-13(EAN): 9781493915583
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Цена: 9083.00 р.
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Описание:

Motivating Examples and Other Preliminaries.- Biological Background.- The Galton-Watson Process.- The Age-Dependent Process: Markov Case.- The Bellman-Harris Process.- Multitype Processes.- Branching Processes with Infinitely Many Types.- Genealogies of Branching Processes and their Applications.- References.

Автор: Marek Kimmel; David E. Axelrod
Название: Branching Processes in Biology
ISBN: 1493938193 ISBN-13(EAN): 9781493938193
Издательство: Springer
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Цена: 8384.00 р.
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Описание:

Motivating Examples and Other Preliminaries.- Biological Background.- The Galton-Watson Process.- The Age-Dependent Process: Markov Case.- The Bellman-Harris Process.- Multitype Processes.- Branching Processes with Infinitely Many Types.- Genealogies of Branching Processes and their Applications.- References.

Автор: Ibrahim Rahimov
Название: Random Sums and Branching Stochastic Processes
ISBN: 038794446X ISBN-13(EAN): 9780387944463
Издательство: Springer
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Описание: The aim of this monograph is to show how random sums (that is, the summation of a random number of dependent random variables) may be used to analyse the behaviour of branching stochastic processes. The author shows how these techniques may yield insight and new results when applied to a wide range of branching processes.

Автор: C.C. Heyde
Название: Branching Processes
ISBN: 0387979891 ISBN-13(EAN): 9780387979892
Издательство: Springer
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Описание: This volume contains the edited proceedings of the First World Congress on Branching Processes. The contributions present new research and surveys of current research activity in this field.

Автор: A. Liemant; K. Matthes; A. Wakolbinger
Название: Equilibrium Distributions of Branching Processes
ISBN: 9027727740 ISBN-13(EAN): 9789027727749
Издательство: Springer
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Автор: Marek Kimmel; David E. Axelrod
Название: Branching Processes in Biology
ISBN: 1441929584 ISBN-13(EAN): 9781441929587
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Цена: 11313.00 р.
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Описание: This book provides a theoretical background of branching processes and discusses their biological applications. Branching processes are a well developed and powerful set of tools in the field of applied probability. The range of applications considered includes molecular biology, cellular biology, human evolution and medicine. The branching processes discussed include Galton-Watson, Markov, Bellman-Harris, Multitype, and General Processes. As an aid to understanding specific examples, two introductory chapters, and two glossaries are included that provide background material in mathematics and in biology. The book will be of interest to scientists who work in quantitative modeling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, cell biologists, molecular biologists, and bioinformaticians. The authors are a mathematician and cell biologist who have collaborated for more than a decade in the field of branching processes in biology.

Автор: Theodore Edward Harris
Название: The Theory of Branching Processes
ISBN: 3642518680 ISBN-13(EAN): 9783642518683
Издательство: Springer
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Описание: It was about ninety years ago that GALTON and WATSON, in treating the problem of the extinction of family names, showed how probability theory could be applied to study the effects of chance on the development of families or populations.

Автор: Christoph Meinel
Название: Modified Branching Programs and Their Computational Power
ISBN: 354051340X ISBN-13(EAN): 9783540513407
Издательство: Springer
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Автор: Shi Zhan
Название: Branching Random Walks
ISBN: 3319253719 ISBN-13(EAN): 9783319253718
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Описание: Providing an elementary introduction to branching random walks, the main focus of these lecture notes is on the asymptotic properties of one-dimensional discrete-time supercritical branching random walks, and in particular, on extreme positions in each generation, as well as the evolution of these positions over time.

Автор: Richard Durrett
Название: Branching Process Models of Cancer
ISBN: 3319160648 ISBN-13(EAN): 9783319160641
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Описание: This volume develops results on continuous time branching processes and applies them to study rate of tumor growth, extending classic work on the Luria-Delbruck distribution. As applications, the author evaluate ovarian cancer screening strategies and give rigorous proofs for results of Heano and Michor concerning tumor metastasis.

Автор: Phadia
Название: Prior Processes and Their Applications
ISBN: 3319327887 ISBN-13(EAN): 9783319327884
Издательство: Springer
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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.