Prior choice for discrete features - logistic regression

This doesn’t use pymc but shows how a Bayesian binary model can be built from multiple binary predictors: Model-Based Machine Learning (Early Access): Chapter 4. Uncluttering Your Inbox

Other chapters may also be relevant. I suggest that because it offers nice yet realist examples of bayesian model building.

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