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Fitting models with circular data in PyMC
| | austinrochford.com
The Hierarchical Regularized Horseshoe Prior in PyMC3 | Austin Rochford
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| | For some time I have been interested in better understanding the horseshoe prior1 by implementing it in PyMC3. The horsehoe prior is a continuous alternative to the spike-and-slab prior for sparse Bay
| | weisser-zwerg.dev
Model Comparison via Bayes Factor
3.9 parsecs away

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| | Especially for unsupervised learning use-cases model comparison via bayes factor helps you select the best model.
| | www.unofficialgoogledatascience.com
Using random effects models in prediction problems
4.4 parsecs away

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| | by NICHOLAS A. JOHNSON, ALAN ZHAO, KAI YANG, SHENG WU, FRANK O. KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction ...
| | poissonisfish.com
Probability distributions in R - poissonisfish
22.3 parsecs away

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| Someof the most fundamental functions in R, in my opinion, are those that deal with probability distributions. Whenever you compute a P-value you relyon a probability distribution, and there are many types out there. In this exercise I will cover four: Bernoulli, Binomial, Poisson, and Normal distributions. Let me begin with some theory first: Bernoulli...