eleafeit Goto Github PK
Name: Elea McDonnell Feit
Type: User
Bio: Associate Professor of Marketing at Drexel University
Twitter: eleafeit
Location: Philadelphia
Blog: eleafeit.com
Name: Elea McDonnell Feit
Type: User
Bio: Associate Professor of Marketing at Drexel University
Twitter: eleafeit
Location: Philadelphia
Blog: eleafeit.com
Advanced A/B Testing Workshop
This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.
Contains the source code/files for my website:
Analyzing Experiments Using Causal Forests for R Ladies Philly
Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
Code for the examples in the Feit and Bradlow chapter on Fusion Modeling in the Handbook of Marketing Research.
Introduction to R and R Markdown for Business School Faculty and Doctoral Students
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.
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