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 austinrochford.com
The Hierarchical Regularized Horseshoe Prior in PyMC3 | Austin Rochford
| | twiecki.io
whilemy_mcmc:gently(samples) - The Best Of Both Worlds: Hierarchical Linear Regression in PyMC
1.4 parsecs away

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| | [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.
| | isaacslavitt.com
Isaac Slavitt: Dirichlet-multinomial model for Skittle proportions
2.3 parsecs away

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| | www.djmannion.net
Fitting models with circular data in PyMC
3.8 parsecs away

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| | Data are sometimes on a circular scale, such as the angle of an oriented stimulus, and the analysis of such data often needs to take this circularity into account. Here, we will look at how we can use PyMC to fit a model to circular data.
| | www.countbayesie.com
Working with Probability Distributions - Count Bayesie
22.5 parsecs away

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| Learn about Discrete and Continuous probability distributions as well as the types of questions that they can both answers. This post also discusses the relationship between the Binomial and Beta distributions.