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 ewulczyn.github.io
How Naive AB Testing Goes Wrong and How to Fix It - Ellery Wulczyn - Data Scientist @ WMF
| | aurimas.eu
P-value is the probability that the treatment effect is larger than zero (under certain conditions) - @aurimas
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| | a.k.a. why you should (not ?) use uninformative priors in Bayesian A/B testing.
| | www.chrisstucchio.com
No Free Samples - Counting Tricks won't get you to Statistical Significance - Chris Stucchio
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| | On a number of occasions, I've spoken to prospective clients and observed others making the following mistake. They've set up an A/B test or bandit system using relatively standard statistical methodology. Unfortunately, their sample size is prohibitively low. In order to
| | juliasilge.com
From Power Calculations to P-Values: A/B Testing at Stack Overflow | Julia Silge
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| | A data science blog
| | fa.bianp.net
On the Link Between Polynomials and Optimization, Part 1
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| There's a fascinating link between minimization of quadratic functions and polynomials. A link that goes deep and allows to phrase optimization problems in the language of polynomials and vice versa. Using this connection, we can tap into centuries of research in the theory of polynomials and shed new light on ...