Using quantile regression it is possible to give a range in which, with high probability, each observation is going to be. This gives an idea to the decision maker about how reliable a given CLV prediction is and assesses the risk associated to that particular customer.
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Moreover, we show that in the common situation where interest is in a top-customer segment, Quantile Regression outperforms Linear Regression. The method also ...
Moreover, we show that in the common situation where interest is in a top-customer segment, Quantile Regression outperforms Linear Regression. The method also ...
Moreover, we show that in the common situation where interest is in a top-customer segment, quantile regression outperforms linear regression. The method also ...
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services · 118 Citations · 46 ...
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. Dries Benoit ...
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. DF Benoit, D Van den ...
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. Expert Systems ...
6 days ago · “Benefits of Quantile Regression for the Analysis of Customer Lifetime Value in a Contractual Setting: An Application in Financial Services.
BENOIT D.F., VAN DEN POEL D. (2009), Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in ...