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Simulation-based Bayesian inference for epidemic models

  • Published:2014-03 Issue: Volume:71 Page:434-447
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

McKinley Trevelyan J.,Ross Joshua V.,Deardon Rob,Cook Alex R.

Funder

Department for the Environment, Food and Rural Affairs/Higher Education Funding Council of England

BBSRC

Australian Research Council’s Discovery Projects

Natural Sciences and Engineering Research Council (NSERC) of Canada’s Discovery Grants Program

National Medical Research Council

NUS Initiative to Improve Health in Asia

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference63 articles.

1. Particle Markov chain Monte Carlo methods;Andrieu;Journal of the Royal Statistical Society, Series B (Methodological),2010

2. The pseudo-marginal approach for efficient Monte Carlo simulation;Andrieu;The Annals of Statistics,2009

3. The Mathematical Theory of Infectious Diseases;Bailey,1975

4. A unified approach to the distribution of total size and total area under the trajectory of infectives in epidemic models;Ball;Advances in Applied Probability,1986

5. Estimation of population growth and decline in genetically monitored populations;Beaumont;Genetics,2003

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