References

• 2000Designing and Managing the Supply Chain Concepts, Strategies, and Case Studies1,298 cited
• 2002Supply chain modeling: past, present and future942 cited
• 2004Valuing Customers848 cited
• 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
• 2006Bagging and Boosting Classification Trees to Predict Churn410 cited
• 2018Actuarial Models for Disability Insurance170 cited
• 2016Multivariate Frequency-Severity Regression Models in Insurance134 cited
• 2011An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction132 cited
• 2008Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services117 cited
• 2019Why you should stop predicting customer churn and start using uplift models90 cited
• 2015Multistate Actuarial Models of Functional Disability72 cited
• 2017Pair Copula Constructions for Insurance Experience Rating71 cited
• 2011Time-varying effects in the analysis of customer loyalty: A case study in insurance65 cited
• 2012Random Forests for Uplift Modeling: An Insurance Customer Retention Case61 cited
• 2011Modelling and predicting customer churn from an insurance company