Bayesian melding estimation of a stochastic SEIR model. (English) Zbl 1408.92031
Summary: One of the main problems in estimating stochastic SEIR models is that the data are not completely observed. In this case, the estimation is usually done by least squares or by MCMC. The Bayesian melding method is proposed to estimate SEIR models and to evaluate the likelihood in the presence of incomplete data. The method is illustrated by estimating a model for HIV/TB interaction in the population of a prison.
MSC:
| 92D30 | Epidemiology |
| 62P10 | Applications of statistics to biology and medical sciences; meta analysis |
Keywords:
Bayesian inference; Bayesian melding; HIV/TB interaction; SEIR model estimation; stochastic epidemic models; stochastic SEIR modelReferences:
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