A tutorial introduction to Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods-Reference-Cited by-同舟云学术

A tutorial introduction to Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods

Published:2002-11 Issue:1-2 Volume:180 Page:103-114
ISSN:0025-5564
Container-title:Mathematical Biosciences
language:en
Short-container-title:Mathematical Biosciences

Author:

O’Neill Philip D.

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,Statistics and Probability

Reference24 articles.

1. Statistical studies of infectious disease incidence;Becker;J. Roy. Stat. Soc., Series B,1999

2. Uses of the EM algorithm in the analysis of data on HIV/AIDS and other infectious diseases;Becker;Stat. Meth. Med. Res.,1997

3. Markov Chain Monte Carlo in Practice,1995

4. Analysis of Infectious Disease Data;Becker,1989

5. T. Britton, P.D. O’Neill, Statistical inference for stochastic epidemics in populations with random social structure. Scand. J. Stat., in press

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