A multi-cohort inverse-variance weighted estimator combined with parametric decay modeling enables precise estimation of long-term treatment effects and residual lifetime value changes from short A/B tests under user learning.
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Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
A multi-cohort inverse-variance weighted estimator combined with parametric decay modeling enables precise estimation of long-term treatment effects and residual lifetime value changes from short A/B tests under user learning.