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AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.

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The relation implemented in #29 could not be expanded both ways due to a limitation in `aesara`. We nevertheless implemented the corresponding test, currently marked as `xfail`. We should be...

important
miniKanren
exact posterior
mathematical relations

We could implement the Gibbs sampler described in [1] for the parameters of the Horseshoe+ prior. [1] Makalic, Enes, and Daniel F. Schmidt. “High-Dimensional Bayesian Regularised Regression with the BayesReg...

enhancement
sampler steps
gibbs

`aemcmc` currently does not implement calibration tests for its samplers (i.e. it does not check that the samplers generate samples from the correct distribution), while `aehmc`'s tests are very flaky...

enhancement
help wanted
important