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| | articles.foletta.org
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| | isaacslavitt.com
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| | [AI summary] The article discusses the German Tank Problem, a statistical estimation challenge where the goal is to infer the total number of tanks based on observed serial numbers, using Bayesian methods and MCMC libraries like Sampyl, PyMC3, and PyStan.
| | aurimas.eu
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| | How to estimate the probability of detecting (a positive) treatment over a series of experiments? I use an (admittedly weird) fusion of frequentist concepts and Bayesian tooling to get to an answer...
| | chrisaldrich.wordpress.com
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| This post was originally published on Chris Aldrich