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Asymptotically Normally Distributed

This is answered, but here's another explanation which might shed some more light. What is an estimator $\hat{\theta}_n$? It's just a function you calculate from the sample, i.e. $\hat{\theta}_n = h(...
Abhishek Divekar's user avatar
7 votes

Estimating effects in the presence of a mediator

Method 1 My answer only addresses the statistical part of your question (Peter notes some issues with your model from a theoretical perspective, which is equally important). If you have a strong a ...
Shawn Hemelstrand's user avatar
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Estimate Jaccard similarity based on a sample

If you control the sampling method, using MinHash. A (smart) sample of size $k$ would have an error of $O(\frac{1}{k})$. Another short summary can be found here: 4.1.1 Jaccard Similarity
Liran Katzir's user avatar

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