Events and Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications

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A Bayesian nonparametric model for data on different scale of measure; an application to customer base management of telecommunications companies
Antonio Canale, David B. Dunson

Last modified: 2013-06-14

Abstract


To analyse telecommunications marketing data which are usually made of discrete and continuous observations we consider a general framework to jointly model continuous, count and categorical variables under a nonparametric prior, which is induced through rounding latent variables having an unknown density with respect to Lesbesgue measure. The approach is applied to model the joint density of trac data for a portion of customers of an European mobile phone operator.

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