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Evaluate log likelihoods straight from model.logp
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Plot log-likelihoods
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Manual calculation, probably error-prone
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Or we could use the newly created function in ``stats.py``, much better!
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Now loop through all the models and calculate the DIC
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This time we go straight for the implementation in pymc3
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Now loop through all the models and calculate the BPIC
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Now loop through all the models and calculate the WAIC
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Visualize the Data
~~~~~~~~~~~~~~~~~~
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