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isaacslavitt.com
| | www.djmannion.net
2.1 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.
| | austinrochford.com
2.4 parsecs away

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| | Splines are a powerful tool when modeling nonlinear relationships. This post shows how to include splines in a Bayesian model in Python using pymc3. In addition, we will show how to use a second splin
| | dm13450.github.io
3.3 parsecs away

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| | Point proceseses crop up everywhere. From modelling when a bus arrives, or to when a particle decays. They all involve an intensity function, so how do we fit an intensity function to some data in Bayesian way?
| | thisandthatthenextpart.wordpress.com
17.0 parsecs away

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