3 edition of theory of branching processes found in the catalog.
theory of branching processes
Theodore Edward Harris
|Statement||by Theodore E. Harris.|
|LC Classifications||QA274.7 .H37 1989|
|The Physical Object|
|Pagination||xiv, 230 p. :|
|Number of Pages||230|
|LC Control Number||88039105|
For a further development of the theory of branching processes and their applications in biology we refer the reader to several books [1, 10, 12, 16, 18, 25, 28, 29]. Remember that the main problems of the theory of branching processes are focused on the asymptotic behavior of the probabilistic characteristics of the processes when t. Branching processes are stochastic individual-based processes leading consequently to a bottom-up approach. In addition, since the state variables are random integer variables (representing population sizes), the extinction occurs at random finite time on the extinction set, thus leading to fine and realistic predictions.
Workshop on Branching Processes and Their Applications, () Estimation of the offspring mean in a controlled branching process with a random control function. Stochastic Processes and their Applications , In § 1 we consider a generalization of one model of age-dependent branching processes constructed by R. Bellman and T. E. Harris. In § 2 we derive necessary and sufficient conditions for the extinction of such branching processes. In § 3, 4 we prove a limit theorem for critical branching processes.
but random. Branching processes model this process under simplifying assump-tions but nevertheless provide the starting point for the modelling and analysis of such populations. In this chapter we present some of the central ideas and key results in the theory of branching processes. Basic Concepts and Results on Branching Processes. Consider a branching process in which each individual reproduces independently of all others and has probability a j (j = 0, 1, ) of giving rise to j progeny in the following generation, and in which there is an independent immigration component where, with probability b j (j = 0, 1, ) j objects enter the population at each generation.
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The purpose of this book is to give a unified treatment of the limit theory of branching processes. Since the publication of the important book of T E.
Harris (Theory of Branching Processes, Springer, ) the subject has developed and matured significantly. Many of the classical limit laws areBrand: Springer-Verlag Berlin Heidelberg.
The Theory of Branching Processes (Grundlehren der mathematischen Wissenschaften) Softcover reprint of the original 1st ed. Edition by Theodore Edward Harris (Author) ISBN Cited by: Originally evolved in the 19th century from an attempt by Galton and Watson (earlier work of Bienaymé has been found recently) to show how probability related to the extinction of family names, the theory of branching processes has become widely used as a theoretical basis for the study of populations of such objects as genes, neutrons, or cosmic rays.5/5(1).
The Theory of Branching Processes (Dover Books on Advanced Mathematics) by Theodore E. Harris () Paperback. $ Branching Processes in Biology (Interdisciplinary Applied Mathematics) Marek Kimmel. Hardcover. $ The Theory of Branching Processes (Grundlehren der mathematischen Wissenschaften) 5/5(1).
The purpose of this book is to give a unified treatment of the limit theory of branching processes. Since the publication of the important book of T E. Harris (Theory of Branching Processes, Springer, ) the subject has developed and matured significantly. Title: The Theory of Branching Process Author: Theodore Edward Harris Subject: A review of the Galton and Watson mathematical model that applies probability theory to the effects of chance on the development of populations.
In probability theory, a branching process is a type of mathematical object known as a stochastic process, which consists of collections of random random variables of a stochastic process are indexed by the natural numbers. The original purpose of branching processes was to serve as a mathematical model of a population in which each individual in generation produces some random.
The generalizations of the GaIton Wa,tson model to be studied in this book can appropriately be called branching processes; the term has become common since its use in a more restricted sense in a paper by KOLMOGOROV and DMITRIEV in (see Chapter II).Brand: Springer-Verlag Berlin Heidelberg.
Chapter 6: Branching Processes: TheTheory of Reproduction Aphids DNA Viruses Royalty Although the early development of Probability Theory was motivated by prob-lems in gambling, probabilists soon realised that, if they were to continue as a breed, they must also study reproduction.
Reproduction is a complicated business, but considerable in. branching process theory. We let ⌘ be the probability of extinction. Throughout, we assume that p 0 > 0 and p 1 process (Zt) is integer-valued and 0 is the only ﬁxed point of the pro-cess under the assumption that p 1.
Historical Background. In this section we apply the theory of generating functions to the study of an important chance process called a.
Until recently it was thought that the theory of branching processes originated with the following problem posed by Francis Galton in the in 1 Problem A large nation, of whom we will only concern ourselves with the adult males, \(N\) in number.
This book was written with two objectives in mind, and correspondingly it consists of two parts. The first part presents an account of the mathematical tools used in describing branching processes, which are then used to derive a large number of properties of the neutron distribution.
A threya and A. Vidyashankar In this survey we give a concise account of the theory of branching processes.
We describe the branching process of a single type in discrete time followed by the multitype case. Continuous time branching process of a single type is discussed next followed by branching processes in random environments in discrete.
Mathematics Subject Classification: Primary: 60J80  A stochastic process describing a wide circle of phenomena connected with the reproduction and transformation of given objects (e.g.
of particles in physics, of molecules in chemistry, of some particular population in biology, etc.). The class of branching processes is singled-out by the fundamental assumption that the reproductions. The work in this chapter is based on the theory of stochastic branching processes .
A branching process is a Markov process that models the probability of observing a population of size Pr(s. The author develops the model for the neutron (one-group theory, isotropic case), for the Markov (continuous time) age-dependent branching processes, and for the branching processes in the theory of cosmic rays.
Applications include transport and multiplication of neutrons and. Because all particles act identically and independently, the branching chain starting with \(x \in \N_+ \) particles is essentially \(x \) independent copies of the branching chain starting with 1 particle.
In many ways, this is the fundamental insight into branching chains, and in particular, means that we can often condition on \(X(0) = 1 \). This book provides a comprehensive introduction to the theoretical foundations of quantum tunneling, stressing the basic physics underlying the applications.
The topics addressed include exponential and nonexponential decay processes and the application of scattering theory to tunneling problems. In addition to the Schrödinger equation approach, the path integral, Heisenberg's equations and.
Reversed MGs, likelihood ratios and branching processes Chapter 6. Markov chains Canonical construction and the strong Markov property Markov chains with countable state space General state space: Doeblin and Harris chains Chapter 7.
Ergodic theory Measure preserving and ergodic maps bility theory. In this paper, we give a brief survey of the many funda-mental contributions of Harris to the theory of branching processes, starting with his doctoral work at Princeton in the late forties and culminating in his fundamental book “The Theory of Branching Pro-cesses.
theory and branching processes makes it considerably more lively. The process of branching should be understood as a probabilistic model representing the growth and decay of a population of objects; e.g., the development of an infectious.Additional Physical Format: Online version: Mode, Charles J., Multitype branching processes.
New York, American Elsevier Pub. Co., (OCoLC)The main results obtained from to in the theory of Markov branching processes and processes with transformations depending on the age of particles are reflected in this article.
Along with the traditional sections (integral and local theorems, stationary measures), the survey includes sections devoted to statistics of branching processes.