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twiecki.io | ||
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www.djmannion.net
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. |
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isaacslavitt.com
[AI summary] The article discusses the German Tank Problem, a statistical estimation challenge where the goal is to infer the total number of tanks based on observed serial numbers, using Bayesian methods and MCMC libraries like Sampyl, PyMC3, and PyStan. |
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ckrapu.github.io
A PyMC Gaussian process example with uncertain spatial coordinates |
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willieneis.github.io
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