Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Stochastic Epidemic Models and Their Statistical Analysis - Hakan Andersson, Tom Britton

Stochastic Epidemic Models and Their Statistical Analysis

Buch | Softcover
156 Seiten
2000
Springer-Verlag New York Inc.
978-0-387-95050-1 (ISBN)
CHF 194,70 inkl. MwSt
The present lecture notes describe stochastic epidemic models and methods for their statistical analysis. 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 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.

I: Stochastic Modelling.- 1. Introduction.- 2. The standard SIR epidemic model.- 3. Coupling methods.- 4. The threshold limit theorem.- 5. Density dependent jump Markov processes.- 6. Multitype epidemics.- 7. Epidemics and graphs.- 8. Models for endemic diseases.- II: Estimation.- 9. Complete observation of the epidemic process.- 10. Estimation in partially observed epidemics.- 11. Markov Chain Monte Carlo methods.- 12. Vaccination.- References.

Reihe/Serie Lecture Notes in Statistics ; 151
Zusatzinfo IX, 156 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
ISBN-10 0-387-95050-8 / 0387950508
ISBN-13 978-0-387-95050-1 / 9780387950501
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
ein überfälliges Gespräch zu einer Pandemie, die nicht die letzte …

von Christian Drosten; Georg Mascolo

Buch | Hardcover (2024)
Ullstein Buchverlage
CHF 34,95

von Matthias Egger; Oliver Razum; Anita Rieder

Buch | Softcover (2021)
De Gruyter (Verlag)
CHF 67,50