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You are here		austinrochford.com Bayesian Parametric Survival Analysis with PyMC3 \| Austin Rochford
\|	\|	twiecki.io whilemy_mcmc:gently(samples) - The Best Of Both Worlds: Hierarchical Linear Regression in PyMC	3.0 parsecs away Travel
\|	\|	[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.	3.0 parsecs away Travel
\|	\|	dsaber.com Bayesian Regression with PyMC: A Brief Tutorial - Dan Saber	4.7 parsecs away Travel
\|	\|	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...	4.7 parsecs away Travel
\|	\|	bambinos.github.io BAyesian Model-Building Interface in Python - Bambi	5.5 parsecs away Travel
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\|	\|	www.harshkn.com Maximum Ignorance Probability	23.3 parsecs away Travel
\|		Application of Maximum Ignorance Probability	23.3 parsecs away Travel