Stochastic Epidemic Models with Inference

This book PDF is perfect for those who love Mathematics genre, written by Tom Britton and published by Springer Nature which was released on 30 November 2019 with total hardcover pages 474. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Stochastic Epidemic Models with Inference books below.

Stochastic Epidemic Models with Inference
Stochastic Epidemic Models with Inference
Author : Tom Britton
File Size : 41,5 Mb
Publisher : Springer Nature
Language : English
Release Date : 30 November 2019
ISBN : 9783030309008
Pages : 474 pages
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Stochastic Epidemic Models with Inference by Tom Britton Book PDF Summary

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.

Stochastic Epidemic Models with Inference

Stochastic Epidemic Models with Inference by Tom Britton,Etienne Pardoux

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

Get Book
Stochastic Epidemic Models with Inference

Stochastic Epidemic Models with Inference by Tom Britton,Etienne Pardoux

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

Get Book
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This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic phenomena. As such, it provides current research in mathematics, with applications in biological and environmental sciences, ecology, epidemiology and social perspectives. The chapters can be read independently of each

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Stochastic Epidemic Models and Their Statistical Analysis

Stochastic Epidemic Models and Their Statistical Analysis by Hakan Andersson,Tom Britton

The present lecture notes describe stochastic epidemic models and methods for their statistical analysis. Our aim is to present ideas for such models, and methods for their analysis; along the way we make practical use of several probabilistic and statistical techniques. This will be done without focusing on any specific

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Mathematical Tools for Understanding Infectious Disease Dynamics by Odo Diekmann,Hans Heesterbeek,Tom Britton

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This thesis considers the deterministic SIS epidemic model, which has applications to transmission of real-life diseases, such as pneumococcus, gonorrhea and tuberculosis. Environmental noise can a ect the deterministic system signi cantly. There are various types of noise which can be incorporated into the deterministic dynamics according to di erent

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Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often carried out incorrectly, and the according statistical inference is considered almost exclusively

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