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dfm.io | ||
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bambinos.github.io
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twiecki.io
[AI summary] This technical blog post explains the advantages of hierarchical Bayesian modeling over non-hierarchical approaches using a case study of predicting radon levels across different US counties with the PyMC3 library. |
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dsaber.com
Warning: This is a love story between a man and his Python module As I mentioned previously, one of the most powerful concepts I've really learned at Zipfian has been Bayesian inference using PyMC. PyMC is currently my favorite library of any kind in any language. I dramatically italicized "learned" because I had been taught... |
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statsandr.com
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 |
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