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Type: Artigo de periódico
Title: Bayesian Melding Estimation of a Stochastic SEIR Model
Author: Hotta, LK
Abstract: 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.
Subject: Bayesian inference
Bayesian melding
HIV/TB interaction
SEIR model estimation
stochastic epidemic models
stochastic SEIR model
Country: EUA
Editor: Taylor & Francis Inc
Rights: fechado
Identifier DOI: 10.1080/08898481003689528
Date Issue: 2010
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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