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I mistyped the title ... MXMX -> MCMC |
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Apologies for the delay. Is there a particular reason you think Bayesian linear/logistic regression with MCMC examples should be added? Since the change is a few lines from existing notebooks, maybe this would do better by making it a hierarchical model, and over a medium-size (~5,000 - 20,000 data points) real data set? |
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I wrote some MCMC related examples in jupyter. Should these trials be as independently to the one of variational algorithm's note or merged to existing variational algorithm's note?