Author: Slava Kisilevich
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Understanding Bayesian Marketing Mix Modeling: A Deep Dive into Prior Specifications
Machine LearningExploring model specification with Google’s LightweightMMM
8 min read -
Comparing Saturation Function and Partial Dependence for Response Curve Generation
6 min read -
How to optimize the media mix using saturation curves and statistical models
10 min read -
Capturing non-linear advertising saturation and diminishing returns without explicitly transforming media variables
11 min read -
How to fit a SciPy Linear Regression and call R Ridge Regression from Python using…
10 min read -
Building MMM models using tree-based ensembles and explaining media channel performance using SHAP (Shapley Additive…
12 min read -
A practical solution to finding similar products using deep learning. A product-centric approach.
12 min read -
Experimenting with priors, data normalization, and comparing Bayesian modeling with Robyn, Facebook’s open-source MMM package
17 min read