Articles tagged with Experimentation
Using Causal Inference and Experimentation to Improve our Referral Program
In this post, Ben Tengelsen from the IntelyCare Research Group explains how Bayesian structural time-series models and experimentation helped to improve a referral program.
Posted August 28, 2022 by Ben Tengelsen ‐ 8 min read
Bootstrap Your Way to Better Experiments
In this post, Simon Grest, Data Science Lead at the Netherlands' largest food retailer Albert Heijn, shows how using bootstrapping with historical data can be used to validate different estimators in A/B testing.
Posted August 5, 2021 by Simon Grest ‐ 11 min read
How to Use Previous Model Deployments to Build (a Better) Causal Model
Do you experiment with different models in production? Sam Weiss from Ibotta on how you can use observational causal inference to build a better model on data from previous model deployments.
Posted August 2, 2021 by Sam Weiss ‐ 11 min read