liuchbryan/fb_lift_study_design

Stars
9
Rank 1,939,727 (Top 39 %)
Language
Jupyter Notebook
Created over 6 years ago
Updated over 5 years ago

liuchbryan/fb_lift_study_design

liuchbryan

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

This repository contains code used to calculate the test power and required sample size for Facebook lift studies and multi-cell lift studies.

oce-dataset

Datasets for Online Controlled Experiments

Jupyter Notebook

Chess

C++ Chess Simulation

generalised_forest_tuning

Generalising Random Forest Parameter Optimisation to Include Stability and Cost

Jupyter Notebook

ranking_under_lower_uncertainty

Code repository for the paper "What is the value of experimentation & measurement?"

Jupyter Notebook

stacked_incrementality_testing

Code used for the stacked incrementality test framework

Jupyter Notebook

experiment_design_evaluation

Code and supplementary documents used in the paper "An evaluation framework for personalization strategy experiment design"

Jupyter Notebook