Related references
Note: Only part of the references are listed.Retailing and retailing research in the age of big data analytics
Marnik G. Dekimpe
INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING (2020)
POINTS OF SIGNIFICANCE Statistics versus machine learning
Danilo Bzdok et al.
NATURE METHODS (2018)
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C plus plus and R
Marvin N. Wright et al.
JOURNAL OF STATISTICAL SOFTWARE (2017)
The Effect of Retail Distribution on Sales of Alcoholic Beverages
Richard Friberg et al.
MARKETING SCIENCE (2017)
Future of Retailer Profitability: An Organizing Framework
V. Kumar et al.
JOURNAL OF RETAILING (2017)
The Role of Big Data and Predictive Analytics in Retailing
Eric T. Bradlow et al.
JOURNAL OF RETAILING (2017)
Machine Learning: An Applied Econometric Approach
Sendhil Mullainathan et al.
JOURNAL OF ECONOMIC PERSPECTIVES (2017)
Marketing Analytics for Data-Rich Environments
Michel Wedel et al.
JOURNAL OF MARKETING (2016)
Unifying Optimization Algorithms to Aid Software System Users:optimxforR
John C. Nash et al.
Journal of Statistical Software (2015)
Consumer Brand Marketing through Full-and Self-Service Channels in an Emerging Economy
Rajkumar Venkatesan et al.
JOURNAL OF RETAILING (2015)
Leveraging Distribution to Maximize Firm Performance in Emerging Markets
V. Kumar et al.
JOURNAL OF RETAILING (2015)
Diagnosing Brand Performance: Accounting for the Dynamic Impact of Product Availability with Aggregate Data
Denish Shah et al.
JOURNAL OF MARKETING RESEARCH (2015)
A Demand Estimation Procedure for Retail Assortment Optimization with Results from Implementations
Marshall Fisher et al.
MANAGEMENT SCIENCE (2014)
Active Machine Learning for Consideration Heuristics
Daria Dzyabura et al.
MARKETING SCIENCE (2011)
Marketing at the retail shelf: an examination of moderating effects of logistics on SKU market share
Matthew A. Waller et al.
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE (2010)
Building Predictive Models in R Using the caret Package
Max Kuhn
JOURNAL OF STATISTICAL SOFTWARE (2008)
Prediction in marketing using the support vector machine
DP Cui et al.
MARKETING SCIENCE (2005)
Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures
A Elberse et al.
MARKETING SCIENCE (2003)
Multiple messages to retain retailers: Signaling new product demand
PS Desai
MARKETING SCIENCE (2000)
Share Paper
