Bayesian Nonparametric Inference For Stochastic Epidemic Models
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Bayesian Nonparametric Inference For Stochastic Epidemic Models
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Author : Xiaoguang Xu
language : en
Publisher:
Release Date : 2015
Bayesian Nonparametric Inference For Stochastic Epidemic Models written by Xiaoguang Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Bayesian statistical decision theory categories.
Bayesian Nonparametric Methods For Individual Level Stochastic Epidemic Models
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Author : Rowland G. Seymour
language : en
Publisher:
Release Date : 2020
Bayesian Nonparametric Methods For Individual Level Stochastic Epidemic Models written by Rowland G. Seymour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Stochastic Epidemic Models With Inference
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Author : Tom Britton
language : en
Publisher: Springer Nature
Release Date : 2019-11-30
Stochastic Epidemic Models With Inference written by Tom Britton and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-30 with Mathematics categories.
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.
Bayesian Inference For Stochastic Epidemic Models
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Author : Philip Robert Giles
language : en
Publisher:
Release Date : 2005
Bayesian Inference For Stochastic Epidemic Models written by Philip Robert Giles and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Bayesian Inference For Stochastic Epidemic Models Using Markov Chain Monte Carlo Methods
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Author : Nikolaos Demiris
language : en
Publisher:
Release Date : 2004
Bayesian Inference For Stochastic Epidemic Models Using Markov Chain Monte Carlo Methods written by Nikolaos Demiris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Stochastic Epidemic Models With Inference
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Author : Tom Britton
language : en
Publisher:
Release Date : 2019
Stochastic Epidemic Models With Inference written by Tom Britton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Biomathematics categories.
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.
Topics In Bayesian Inference And Model Assessment For Partially Observed Stochastic Epidemic Models
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Author : Georgios Aristotelous
language : en
Publisher:
Release Date : 2020
Topics In Bayesian Inference And Model Assessment For Partially Observed Stochastic Epidemic Models written by Georgios Aristotelous and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Bayesian Nonparametric Inference In Mechanistic Models Of Complex Biological Systems
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Author : Umberto Noè
language : en
Publisher:
Release Date : 2018
Bayesian Nonparametric Inference In Mechanistic Models Of Complex Biological Systems written by Umberto Noè and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Bayesian statistical decision theory categories.
Stochastic Epidemic Models And Their Statistical Analysis
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Author : Hakan Andersson
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic Epidemic Models And Their Statistical Analysis written by Hakan Andersson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
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 disease, and instead rigorously analyzing rather simple models. The reader of these lecture notes could thus have a two-fold purpose in mind: to learn about epidemic models and their statistical analysis, and/or to learn and apply techniques in probability and statistics. The lecture notes require an early graduate level knowledge of probability and They introduce several techniques which might be new to students, but our statistics. intention is to present these keeping the technical level at a minlmum. Techniques that are explained and applied in the lecture notes are, for example: coupling, diffusion approximation, random graphs, likelihood theory for counting processes, martingales, the EM-algorithm and MCMC methods. The aim is to introduce and apply these techniques, thus hopefully motivating their further theoretical treatment. A few sections, mainly in Chapter 5, assume some knowledge of weak convergence; we hope that readers not familiar with this theory can understand the these parts at a heuristic level. The text is divided into two distinct but related parts: modelling and estimation.
Some Advances In Bayesian Nonparametric Modeling
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Author : Abel Rodriguez
language : en
Publisher: ProQuest
Release Date : 2007
Some Advances In Bayesian Nonparametric Modeling written by Abel Rodriguez and has been published by ProQuest this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Bayesian statistical decision theory categories.
Finally, chapter 7 introduces a novel nonparametric prior on the space of stochastic processes that provides a flexible alternative to the Gaussian process. This class of models has few precedents in the literature and is different from the models for collection of distributions that we developed in the first part of the dissertation. As an application, we discuss a stochastic volatility model for option pricing.