Hoggart, C.J. and Griffin, Jim E.
A Bayesian Partition Model for Customer Attrition.
Bayesian Methods with Applications to Science, Policy and Official Statistics (Selected Papers from ISBA 2000): The Sixth World Meeting of the International Society for Bayesian Analysis.
(Full text available)
This paper presents a nonlinear Bayesian model for covariates in a
survival model with a surviving fraction. The work is a direct extension of the
cure rate model of Chen et al. (1999). In their model the covariates depend naturally
on the cure rate through a generalised linear model. We use a more flexible
local model of the covariates utilizing the Bayesian partition model of Holmes et
al. (1999). We apply the model to a large retail banking data set and compare our
results with the generalised linear model used by Chen et al. (1999).
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