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Binary quantile regression : a...
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Van den Poel, Dirk
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Improved marketing decision making in a customer churn prediction context using generalized additive models
Coussement, Kristof
;
Benoit, Dries F.
;
Van den Poel, Dirk
-
2009
Persistent link: https://www.econbiz.de/10003936779
Saved in:
2
Enhanced decision support in credit scoring using Bayesian binary quantile regression
Miguéis, Vera L.
;
Benoit, Dries F.
;
Van den Poel, Dirk
-
2012
Persistent link: https://www.econbiz.de/10009665121
Saved in:
3
Improving customer retention in financial services using kinship network information
Benoit, Dries F.
;
Van den Poel, Dirk
-
2012
Persistent link: https://www.econbiz.de/10009560556
Saved in:
4
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting : an application in financial services
Benoit, Dries F.
;
Van den Poel, Dirk
-
2009
Persistent link: https://www.econbiz.de/10003815917
Saved in:
5
Binary quantile regression : a Bayesian approach based on the asymmetric Laplace density
Benoit, Dries F.
;
Van den Poel, Dirk
-
2010
Persistent link: https://www.econbiz.de/10008821742
Saved in:
6
Outlier-robust Bayesian multinomial choice modeling
Benoit, Dries F.
;
Van Aelst, Stefan
;
Van den Poel, Dirk
- In:
Journal of applied econometrics
31
(
2016
)
7
,
pp. 1445-1466
Persistent link: https://www.econbiz.de/10011687558
Saved in:
7
Predicting mail-order repeat buying : which variables matter ?
Van den Poel, Dirk
(
contributor
)
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001811629
Saved in:
8
Integrating the voice of customers through call center emails into a decision support system for churn prediction
Coussement, Kristof
(
contributor
); …
-
2008
Persistent link: https://www.econbiz.de/10003649170
Saved in:
9
Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers
Coussement, Kristof
(
contributor
); …
-
2008
Persistent link: https://www.econbiz.de/10003787798
Saved in:
10
Using predicted outcome stratified sampling to reduce the variability in predictive performance of a one-shot train-and-test split for individual customer predictions
Verstraeten, Geert
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003331255
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