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A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

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A/B testing & experimentation medium

How to Compute CUPED Variance Reduction in Python

Implement CUPED in Python to reduce variance of A/B test treatment effect estimates using pre-experiment covariates.

cuped ab-testing variance-reduction
Python 
import numpy as np

def compute_cuped_reduction(control, variant, covariate):
    """
    Compute variance reduction using CUPED (Controlled Experiment with
    Pre-Experiment Data). Uses pre-experiment covariate values to
    reduce variance of the treatment effect estimate.
    """
    control = np.asarray(control, …
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