Bayesian inference for partially observed stochastic epidemics

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 162, Issue 1, 1999, Pages 121-129

  O'Neill, Philip D ^a   Roberts, Gareth O ^b  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b NONE

Author keywords

Bayesian inference; Epidemic; General stochastic epidemic; Gibbs sampler; Hastings algorithm; Markov chain Monte Carlo methods; Reed frost epidemic

Indexed keywords

EID: 0033473456     PISSN: 09641998     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-985X.00125     Document Type: Article

References (5)

1. Bailey, N. T. J. (1975) The Mathematical Theory of Infectious Diseases and Its Applications, 2nd edn. London: Griffin.
2. Becker, N. G. (1993) Parametric inference for epidemic models. Math. Biosci., 117, 239-251.
3. -(1995) Statistical challenges of epidemic data. In Epidemic Models: Their Structure and Relation to Data (ed. D. Mollison), pp. 339-349. Cambridge: Cambridge University Press.
4. Gibson, G. J. and Renshaw, E. (1998) Estimating parameters in stochastic compartmental models using Markov chain methods. IMA J. Math. Appl. Med. Biol., 15, 19-40.
5. Smith, A. F. M. and Roberts, G. O. (1993) Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods. J. R. Statist. Soc. B, 55, 3-23.