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calogica.com | ||
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twiecki.io
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| | | | | [AI summary] This blog post discusses hierarchical linear regression in PyMC3, highlighting its advantages over non-hierarchical Bayesian modeling. The author explores how hierarchical models can effectively handle multi-level data by leveraging the 'shrinkage-effect', which improves predictions by borrowing strength from related groups. Using the radon dataset, the post compares individual and hierarchical models, demonstrating that the hierarchical approach provides more accurate and robust estimates, especially in cases with limited data. The key takeaway is that hierarchical models balance individual and group-level insights, offering the best of both worlds in data analysis. | |
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juliasilge.com
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| | | | | A data science blog | |
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statsandr.com
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| | | | | Learn how to run multiple and simple linear regression in R, how to interpret the results and how to verify the conditions of application | |
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yasoob.me
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| | | Oh hi there! Welcome to another useful post. This post is going to be about how to package your python scripts and packages for distribution on PyPI or some other place. Here I wont go too deep into explaining everything as most of us just need to know the basics of packaging. However i will provide you with different links for further study. Okay lets talk about setuptools first. What is it? | ||
