Narrow search
Showing 1 - 7 of 7
Cover Image
Improving the crystal ball : harnessing consumer input to create retail prediction markets
Kaufman-Scarborough, Carol; Morrin, Maureen; Bradlow, … - In: Journal of research in interactive marketing : … 4 (2010) 1, pp. 30-45
Persistent link: https://www.econbiz.de/10003982752
Cover Image
Model selection using database characteristics : developing a classification tree for longitudinal incidence data
Schwartz, Eric M.; Bradlow, Eric T.; Fader, Peter - In: Marketing science 33 (2014) 2, pp. 188-205
Persistent link: https://www.econbiz.de/10010358791
Cover Image
Commentary on "Predicting customer value using clumpiness"
Kumar, Vineet; Srinivasan, Kannan - In: Marketing science 34 (2015) 2, pp. 209-213
Persistent link: https://www.econbiz.de/10010515915
Cover Image
Understanding service retention within and across cohorts using limited information
Schweidel, David A.; Fader, Peter; Bradlow, Eric T. - In: Journal of marketing 72 (2008) 1, pp. 82-94
Persistent link: https://www.econbiz.de/10003643026
Cover Image
The role of big data and predictive analytics in retailing
Bradlow, Eric T.; Gangwar, Manish; Kopalle, Praveen K.; … - In: Journal of retailing 93 (2017) 1, pp. 79-95
Persistent link: https://www.econbiz.de/10011704696
Cover Image
A cross-cohort changepoint model for customer-base analysis
Gopalakrishnan, Arun; Bradlow, Eric T.; Fader, Peter - In: Marketing science 36 (2017) 2, pp. 195-213
Persistent link: https://www.econbiz.de/10011672435
Cover Image
Selecting data granularity and model specification using the scaled power likelihood with multiple weights
Kim, Mingyung; Bradlow, Eric T.; Iyengar, Radha - In: Marketing science 41 (2022) 4, pp. 420-438
Persistent link: https://www.econbiz.de/10013364020