Statistical Inference for Branching Processes

Statistical Inference for Branching Processes PDF Author: Peter Guttorp
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 232

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Book Description
An examination of the difficulties that statistical theory and, in particular, estimation theory can encounter within the area of dependent data. This is achieved through the study of the theory of branching processes starting with the demographic question: what is the probability that a family name becomes extinct? Contains observations on the generation sizes of the Bienaymé-Galton-Watson (BGW) process. Various parameters are estimated and branching process theory is contrasted to a Bayesian approach. Illustrations of branching process theory applications are shown for particular problems.

Statistical Inference for Branching Processes

Statistical Inference for Branching Processes PDF Author: Peter Guttorp
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 232

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Book Description
An examination of the difficulties that statistical theory and, in particular, estimation theory can encounter within the area of dependent data. This is achieved through the study of the theory of branching processes starting with the demographic question: what is the probability that a family name becomes extinct? Contains observations on the generation sizes of the Bienaymé-Galton-Watson (BGW) process. Various parameters are estimated and branching process theory is contrasted to a Bayesian approach. Illustrations of branching process theory applications are shown for particular problems.

STATISTICAL INFERENCE IN BRANCHING PROCESSES

STATISTICAL INFERENCE IN BRANCHING PROCESSES PDF Author: JEAN-PIERRE DION
Publisher:
ISBN:
Category :
Languages : en
Pages : 37

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Book Description


Statistical Inference from Stochastic Processes

Statistical Inference from Stochastic Processes PDF Author: Narahari Umanath Prabhu
Publisher: American Mathematical Soc.
ISBN: 0821850873
Category : Mathematics
Languages : en
Pages : 406

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Book Description
Comprises the proceedings of the AMS-IMS-SIAM Summer Research Conference on Statistical Inference from Stochastic Processes, held at Cornell University in August 1987. This book provides students and researchers with a familiarity with the foundations of inference from stochastic processes and intends to provide a knowledge of the developments.

Controlled Branching Processes

Controlled Branching Processes PDF Author: Miguel González Velasco
Publisher: John Wiley & Sons
ISBN: 1786302535
Category : Mathematics
Languages : en
Pages : 240

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Book Description
The purpose of this book is to provide a comprehensive discussion of the available results for discrete time branching processes with random control functions. The independence of individuals’ reproduction is a fundamental assumption in the classical branching processes. Alternatively, the controlled branching processes (CBPs) allow the number of reproductive individuals in one generation to decrease or increase depending on the size of the previous generation. Generating a wide range of behaviors, the CBPs have been successfully used as modeling tools in diverse areas of applications.

Statistical Inference in Stochastic Processes

Statistical Inference in Stochastic Processes PDF Author: Howard G. Tucker
Publisher:
ISBN:
Category :
Languages : en
Pages : 5

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Book Description
The following topics are the principal ones investigated under this grant: (1) Hypothesis testing for Poisson-like processes. (2) Hilbert space methods in time series analysis. (3) Limit distributions of branching processes. (4) Hausdorff dimension in stochastic processes. (5) Sufficient statistics for stochastic processes. (6) Absolute continuity and orthogonality of stochastic processes. (7) Subordination of stochastic processes. (8) Slowly varying functions in probability. (9) Mixture problems and the Glivenko-Cantelli Theorem. (10) Random power series. (Author).

Statistical Inferences for Stochasic Processes

Statistical Inferences for Stochasic Processes PDF Author: Ishwar V. Basawa
Publisher: Academic Press
ISBN:
Category : Mathematics
Languages : en
Pages : 464

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Book Description
Introductory examples of stochastic models; Special models; General theory; Further approaches.

Branching Processes

Branching Processes PDF Author: C.C. Heyde
Publisher: Springer Science & Business Media
ISBN: 1461225582
Category : Mathematics
Languages : en
Pages : 189

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Book Description
This volume presents the edited proceedings of the First World Congress on Branching Processes. The contributions present new research and surveys of the current research activity in this field. As a result, all those undertaking research in the subject will find this a timely and high-quality volume to have on their shelves.

Stochastic Epidemic Models with Inference

Stochastic Epidemic Models with Inference PDF Author: Tom Britton
Publisher: Springer Nature
ISBN: 3030309002
Category : Mathematics
Languages : en
Pages : 474

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Book Description
Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stochastic models of epidemics" which took place in Ziguinchor, Senegal, December 5–16, 2015. The text is divided into four parts, each based on one of the courses given at the school: homogeneous models (Tom Britton and Etienne Pardoux), two-level mixing models (David Sirl and Frank Ball), epidemics on graphs (Viet Chi Tran), and statistics for epidemic models (Catherine Larédo). The CIMPA school was aimed at PhD students and Post Docs in the mathematical sciences. Parts (or all) of this book can be used as the basis for traditional or individual reading courses on the topic. For this reason, examples and exercises (some with solutions) are provided throughout.

Branching Processes

Branching Processes PDF Author: Asmussen
Publisher: Springer Science & Business Media
ISBN: 1461581559
Category : Mathematics
Languages : en
Pages : 468

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Book Description
Branching processes form one of the classical fields of applied probability and are still an active area of research. The field has by now grown so large and diverse that a complete and unified treat ment is hardly possible anymore, let alone in one volume. So, our aim here has been to single out some of the more recent developments and to present them with sufficient background material to obtain a largely self-contained treatment intended to supplement previous mo nographs rather than to overlap them. The body of the text is divided into four parts, each of its own flavor. Part A is a short introduction, stressing examples and applications. In Part B we give a self-contained and up-to-date pre sentation of the classical limit theory of simple branching processes, viz. the Gal ton-Watson ( Bienayme-G-W) process and i ts continuous time analogue. Part C deals with the limit theory of Il!arkov branching processes with a general set of types under conditions tailored to (multigroup) branching diffusions on bounded domains, a setting which also covers the ordinary multitype case. Whereas the point of view in Parts A and B is quite pedagogical, the aim of Part C is to treat a large subfield to the highest degree of generality and completeness possi"ble. Thus the exposition there is at times quite technical.

Workshop on Branching Processes and Their Applications

Workshop on Branching Processes and Their Applications PDF Author: Miguel González
Publisher: Springer Science & Business Media
ISBN: 3642111564
Category : Mathematics
Languages : en
Pages : 304

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Book Description
One of the charms of mathematics is the contrast between its generality and its applicability to concrete, even everyday, problems. Branching processes are typical in this. Their niche of mathematics is the abstract pattern of reproduction, sets of individuals changing size and composition through their members reproducing; in other words, what Plato might have called the pure idea behind demography, population biology, cell kinetics, molecular replication, or nuclear ?ssion, had he known these scienti?c ?elds. Even in the performance of algorithms for sorting and classi?cation there is an inkling of the same pattern. In special cases, general properties of the abstract ideal then interact with the physical or biological or whatever properties at hand. But the population, or bran- ing, pattern is strong; it tends to dominate, and here lies the reason for the extreme usefulness of branching processes in diverse applications. Branching is a clean and beautiful mathematical pattern, with an intellectually challenging intrinsic structure, and it pervades the phenomena it underlies.