Posts tagged posterior predictive

Simpson’s paradox and mixed models

This notebook covers:

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Using shared variables (Data container adaptation)

The pymc.Data container class wraps the theano shared variable class and lets the model be aware of its inputs and outputs. This allows one to change the value of an observed variable to predict or refit on new data. All variables of this class must be declared inside a model context and specify a name for them.

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