Scalable Data Fusion with Selection Correction: An Application to Customer Base Analysis

A computationally scalable, statistically efficient aggregate-disaggregate data fusion method that corrects for selection bias is applied to model customer relationship dynamics at a subscription-based firm.

• 저널Marketing Science · 40(3) · 459–480
• 토픽Customer churn and segmentation · Marketing
• DOI10.1287/mksc.2020.1259
• 저자Daniel McCarthy, Shin Oblander