Arbeitspapier
Bayesian feature selection to estimate customer survival
We consider the problem of estimating the lifetime value of customers, when a large number of features are present in the data. In order to measure lifetime value we use survival analysis models to estimate customer tenure. In such a context, a number of classical modelling challenges arise. We will show how our proposed Bayesian methods perform, and compare it with classical churn models on a real case study. More specifically, based on data from a media service company, our aim will be to predict churn behaviour, in order to entertain appropriate retention actions.
- Sprache
-
Englisch
- Erschienen in
-
Series: Quaderni di Dipartimento - EPMQ ; No. 185
- Klassifikation
-
Wirtschaft
- Thema
-
Statistische Methode
Bayes-Statistik
Verbraucher
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Figini, Silvia
Giudici, Paolo
Brooks, S. P.
- Ereignis
-
Veröffentlichung
- (wer)
-
Università degli Studi di Pavia, Dipartimento di Economia Politica e Metodi Quantitativi (EPMQ)
- (wo)
-
Pavia
- (wann)
-
2006
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:46 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Figini, Silvia
- Giudici, Paolo
- Brooks, S. P.
- Università degli Studi di Pavia, Dipartimento di Economia Politica e Metodi Quantitativi (EPMQ)
Entstanden
- 2006
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