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Probability Distributions in PyMC3 — PyMC3 3.11.5 documentation
docs.pymc.io · saved by 1 readers
The most fundamental step in building Bayesian models is the specification of a full probability model for the problem at hand. This primarily involves assigning parametric statistical distributions to unknown quantities in the model, in addition to appropriate functional forms for likelihoods to represent the information from the data. To this end, PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks.
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