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What is Quantile Regression for Customer Lifetime Value about?
This study explores the advantages of using quantile regression for analyzing customer lifetime value (CLV) in a contractual financial services context, highlighting its ability to provide deeper insights into the effects of covariates compared to linear regression. The authors demonstrate that quantile regression not only outperforms mean regression in predictive accuracy but also allows for the construction of prediction intervals, facilitating better customer segmentation and risk assessment. Ultimately,
- Author
- 899141
- Language
- EN