Stochastic Epidemic Models and Their Statistical Analysis [electronic resource] / by Håkan Andersson, Tom Britton.
This book describes stochastic epidemic models and methods for statistically analyzing them. It is aimed at statisticians, biostatisticians, and biomathematicians.
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| Online Access: |
Full Text (via Springer) |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2000.
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| Series: | Lecture notes in statistics (Springer-Verlag) ;
151. |
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Table of Contents:
- Introduction
- The Standard SIR Epidemic Model
- Coupling Methods
- The Threshold Limit Theorem
- Density Dependent Jump Markov Processes
- Multitype Epidemics
- Epidemics and Graphs
- Models for Endemic Diseases
- Complete Observation of the Epidemic Process
- Estimation in Partially Observed Epidemics
- Markov Chain Monte Carlo Methods
- Vaccination.