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A course on implementing a Bayesian workflow using Stan.

Home Page: https://francescacapel.com/BayesianWorkflow/

License: GNU General Public License v3.0

Makefile 0.03% Python 0.09% Batchfile 0.04% Jupyter Notebook 95.18% Dockerfile 0.04% Stan 0.16% C++ 4.47%
statistics python statistics-course bayesian-inference generative-models workflow statistical-methods physical-modeling

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bayesianworkflow's Issues

issue with Bayes factor computation

In the bayesian model comparison via the marginal likelihood, you have implicitly assumed M-closed. Moreover, you use a conditioned posterior for the null-hypothesis which will implicitly give you the Bayes factor you find in the simulated data.

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