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- W2757100027 abstract "This thesis focuses on the development of two new hierarchical Bayesian models for probabilistic analysis of customer purchase behavior and the derivation of new methods to accurately predict customer inactivity. The models not only provide improved forecast accuracy in simulated managerial tasks, but also yield new measures of customers’ individual seasonality that can be used by practitioners for customer segmentation, customer portfolio management and improved coordination of marketing actions." @default.
- W2757100027 created "2017-10-06" @default.
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- W2757100027 date "2015-01-01" @default.
- W2757100027 modified "2023-09-27" @default.
- W2757100027 title "Hierarchical Bayesian Models for Predicting Purchase Behavior in Noncontractual Settings Based on Individual and Cross-Sectional Purchase Patterns" @default.
- W2757100027 hasPublicationYear "2015" @default.
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