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Caputo (2003)
Undernutrition in Benin: an analysis based on graphical modelsSocial Sciences and Medicine, 56
Besag (1991)
Bayesian image restoration with two applications in spatial statistics (with discussion)Annals of the Institute of Statistical Mathematics, 43
We investigate the geographical and socioeconomic determinants of childhood undernutrition in Malawi, Tanzania and Zambia, three neighbouring countries in southern Africa, using the 1992 Demographic and Health Surveys. In particular, we estimate models of undernutrition jointly for the three countries to explore regional patterns of undernutrition that transcend boundaries, while allowing for country‐specific interactions. We use geo‐additive regression models to flexibly model the effects of selected socioeconomic covariates and spatial effects. Inference is fully Bayesian based on recent Markov chain Monte Carlo techniques.
Population, Space and Place – Wiley
Published: Sep 1, 2009
Keywords: ; ; ; ;
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