Bayesian Melding Estimation of a Stochastic SEIR Model

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.

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Year of publication:	2010
Authors:	HOTTA, LUIZ
Published in:	Mathematical Population Studies. - Taylor & Francis Journals, ISSN 0889-8480. - Vol. 17.2010, 2, p. 101-111
Publisher:	Taylor & Francis Journals
Subject:	Bayesian inference \| Bayesian melding \| HIV/TB interaction \| SEIR model estimation \| stochastic epidemic models \| stochastic SEIR model

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008472426