Pymc3 Libraries

The notebooks needed to make all the figures are available at the following locations. You can use any of the following options to install the other requirements. Run Then install manually.

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Note Or from source as follows: Caution! Recent research has led to the development of variational inference algorithms that are fast and almost as flexible as MCMC. For instance Automatic Differenta…

This notebook contains the code required to conduct a Bayesian data analysis on data collected from a set of multiple-lot online auction events executed in Europen markets, over the course of a year.…