Bayesian inference for a stochastic epidemic model with uncertain numbers of susceptibles of several types
Bayesian inference for a stochastic epidemic model with uncertain numbers of susceptibles of several types
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DOI：
10.1111/1467-842x.00300
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发表时间：
2003-12-01
影响因子：
1.1
通讯作者：
Yip, PSF
中科院分区：
文献类型：
--
作者：
Hayakawa, Y;O'Neill, PD;Yip, PSF
A stochastic epidemic model with several kinds of susceptible is used to analyse temporal disease outbreak data from a Bayesian perspective. Prior distributions are used to model uncertainty in the actual numbers of susceptibles initially present. The posterior distribution of the parameters of the model is explored via Markov chain Monte Carlo methods. The methods are illustrated using two datasets, and the results are compared where possible to results obtained by previous analyses.
