Synopses & Reviews
This book describes stochastic epidemic models and methods for statistically analyzing them. It is aimed at statisticians, biostatisticians, and biomathematicians.
Description
Includes bibliographical references (p. [128]-133) and index.
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.