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 ewulczyn.github.io
How Naive AB Testing Goes Wrong and How to Fix It - Ellery Wulczyn - Data Scientist @ WMF
| | apoorvasrinivasanblog.com
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| | [AI summary] This blog post introduces the concept of hypothesis testing in statistics, explaining its purpose, key components, and steps to conduct a hypothesis test using an example about coffee and height.
| | statsandr.com
Student's t-test in R and by hand: how to compare two groups under different scenarios? - Stats and R
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| | Learn how to apply the Student's t-test by hand and in R in order to compare two independent or paired samples with known or unknown variances
| | 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.
| | fa.bianp.net
On the Convergence of the Unadjusted Langevin Algorithm
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| The Langevin algorithm is a simple and powerful method to sample from a probability distribution. It's a key ingredient of some machine learning methods such as diffusion models and differentially private learning. In this post, I'll derive a simple convergence analysis of this method in the special case when the ...