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Titlebook: Branching Processes and Their Applications; Inés M. del Puerto,Miguel González,Alfonso Ramos Book 2016 Springer International Publishing S

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期刊全称Branching Processes and Their Applications
影响因子2023Inés M. del Puerto,Miguel González,Alfonso Ramos
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发行地址Represents a valuable reference on branching processes theory.Covers the most relevant and new models in branching processes theory, including both probabilistic and statistical developments.Describes
学科分类Lecture Notes in Statistics
图书封面Titlebook: Branching Processes and Their Applications;  Inés M. del Puerto,Miguel González,Alfonso Ramos Book 2016 Springer International Publishing S
影响因子.This volume gathers papers originally presented at the 3.rd. 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). The papers address a broad range of theoretical and practical aspects of branching process theory. Further, they amply demonstrate that the theoretical research in this area remains vital and topical, as well as the relevance of branching concepts in the development of theoretical approaches to solving new problems in applied fields such as Epidemiology, Biology, Genetics, and, of course, Population Dynamics..The topics covered can broadly be classified into the following areas:.1. Coalescent Branching Processes.2. Branching Random Walks.3. Population Growth Models in Varying and Random Environments.4. Size/Density/Resource-Dependent Branching Models.5. Age-Dependent Branching Models.6. Special Branching Models.7. Applications in Epidemiology.8. Applications in Biology and Genetics.Offering a valuable reference guide to contemporary branching process theory, the book also explores many open problems, paving the way for future research...
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Lecture Notes in Statisticshttp://image.papertrans.cn/b/image/190364.jpg
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High Precision Particle Beam ChoppersThe results about branching structures within random walks will be surveyed at first. Then as an example of application, the stationary distribution of a birth-and-death process with bounded jumps will be calculated explicitly.
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https://doi.org/10.1007/978-3-662-48310-7We consider stochastic processes (..). taking values in ., i.e. the .-dimensional orthant, and adapted to some filtration ., which satisfy an equation of the form . with a . × . matrix . having non-negative entries, with a function ., and with random fluctuations .. = (.., ., ..). satisfying
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