Modeling DHS data using dynamic mixture models

Type Conference Paper - LinStat 2010
Title Modeling DHS data using dynamic mixture models
Author(s)
Publication (Day/Month/Year) 2010
City Tomar
Country/State Portugal
URL http://www.linstat2010.ipt.pt/download/Dias.pdf
Abstract
inite mixture models have become very popular tools in modeling unobserved heterogeneity (vide, e.g., McLachlan and Peel (2000), Dias and Willekens (2005)). This research extends the application of these models to sequential discrete data by incorporating misclassi

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