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Titlebook: Stochastic Epidemic Models and Their Statistical Analysis; Håkan Andersson,Tom Britton Book 2000 Springer Science+Business Media New York

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发表于 2025-3-21 19:40:32 | 显示全部楼层 |阅读模式
书目名称Stochastic Epidemic Models and Their Statistical Analysis
编辑Håkan Andersson,Tom Britton
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Stochastic Epidemic Models and Their Statistical Analysis;  Håkan Andersson,Tom Britton Book 2000 Springer Science+Business Media New York
描述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 Chapt
出版日期Book 2000
关键词Analysis; Markov; Markov chain; Markov process; epidemics; model; modeling
版次1
doihttps://doi.org/10.1007/978-1-4612-1158-7
isbn_softcover978-0-387-95050-1
isbn_ebook978-1-4612-1158-7Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer Science+Business Media New York 2000
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发表于 2025-3-21 20:25:32 | 显示全部楼层
The standard SIR epidemic modeltion is assumed to be closed, homogeneous and homogeneously mixing. Also, the effects of latent periods, change in behaviour, time varying infectivity and temporary or partial immunity are not taken into account. In later chapters we shall indicate ways of handling some of these complicating features of a real-life epidemic.
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https://doi.org/10.1007/978-1-4612-1158-7Analysis; Markov; Markov chain; Markov process; epidemics; model; modeling
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978-0-387-95050-1Springer Science+Business Media New York 2000
发表于 2025-3-22 14:01:58 | 显示全部楼层
Stochastic Epidemic Models and Their Statistical Analysis978-1-4612-1158-7Series ISSN 0930-0325 Series E-ISSN 2197-7186
发表于 2025-3-22 20:50:44 | 显示全部楼层
stage? Nature is clearly at stake in some canonical plays as dramatic forces that have agency and take action, react and receive the impacts of human action, and are attacked and fight back, not unlike characters. Steeped in Western literary traditions of the early twentieth century, I learned (and
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s between big branches, suspended spars, and fixed wooden platforms. Dangling from a vertical rope some five meters back from the glass the monkey swings in a long elliptical arc back and forth to close in on two dancing human figures, on the outside of the enclosure, whose agile movements are brigh
发表于 2025-3-23 02:32:34 | 显示全部楼层
Håkan Andersson,Tom Brittonre the essential ingredients in the fermentation of revolutionary fervour, as if, somehow, it was counterrevolutionary to laugh. Such activities that might lighten the load and make living more bearable are viewed with suspicion and more than an element of disdain. George Orwell for one, in his trea
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