EMAC SIG Quantitative Marketing: Quantitative Marketing Research - Hot Topics and Recent Developments

Github page for the 2019 EMAC Conference SIG Quantitative Marketing.
Session Chair: Dominik Papies

Managing and Analyzing Big Data

Speaker: Klaus Miller

• Slides: big_data_klaus_miller.pdf
• R-Code: sparklyr demo

What is deep learning, and why should I care?

Speaker: Stefan Mayer

• Slides: deep_learning_stefan_mayer.pdf
• R-Codes
  • data preprocessing: R file
  • training a model from scratch: documentation / R file
  • transfer learning: documentation / R file
  • transfer learning (multiclass prediction): documentation / R file

Sign and order constraints in hierarchical prior distributions and its benefits for counterfactual predictions

Speaker: Max Pachali

• Slides: value_constraints_pachali.pdf
• R-Code: Main R file