What is the delta method?
hardAnswer
- For a differentiable function g and asymptotically normal θ̂: g(θ̂) ~ approximately.
- Use to derive SE of transformations (ratios, log-odds).
- Example: ≈ ̂².
- Central for A/B testing ratio metrics (CTR per user, revenue per user with per-user denominator).
- Fast alternative to bootstrap when you have a closed-form derivative.
Check yourself — multiple choice
- Random
- ≈ |g'(θ)| · ; used for ratios / log-odds / A/B ratio metrics — closed-form alt to bootstrap when derivative exists
- Same as bootstrap
- Only for MLE
Delta method: SE of g(θ̂) via g'(θ); central for ratio metrics.
#estimation#confidence-interval#ab-testing
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