Notes

Short notes on research, methods, and reproducible workflows.

Experimentation

Causal Inference

A/B Testing

Variance Reduction

A practical guide to CUPED and CUPAC, with intuition, pitfalls, and an end-to-end R implementation you can reuse.

Experimentation

Statistics

A/B Testing

Causal Inference

A practical tutorial for A/B tests you want to monitor continuously, with simulations and the Hillstrom email marketing dataset.

Causal Inference

Econometrics

Statistics

How to estimate causal effects with unmeasured confounding using proxy variables, with a worked simulation and a real-data walkthrough in R.