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For Bayesian I recommend PyMC3 (the default version of PyMC is still 2, but 3 is functional and in fast development). Once you know a bit of Bayesian statistics
by stared 10y ago
For Bayesian I recommend PyMC3 (the default version of PyMC is still 2, but 3 is functional and in fast development). Once you know a bit of Bayesian statistics, there is a wonderful tutorial in Jupyter Notebooks: https://github.com/markdregan/Bayesian-Modelling-in-Python https://github.com/markdregan/Bayesian-Modelling-in-Python
(Also, I've learnt from it the practical difference of fixed priors vs hierarchical priors.)
- curiousgal 10y agoI get a 503 error on the actual notebook.