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A Bayesian Partition Model for Customer Attrition

Hoggart, C.J., Griffin, Jim E. (2001) A Bayesian Partition Model for Customer Attrition. In: ISBA 2000: The Sixth World Meeting of the International Society for Bayesian Analysis. (KAR id:22843)


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).

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Jim Griffin
Date Deposited: 30 Sep 2009 16:02 UTC
Last Modified: 16 Nov 2021 10:01 UTC
Resource URI: (The current URI for this page, for reference purposes)

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