pymc
https://github.com/pymc-devs/pymc
Python
Bayesian Modeling in Python
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- Issues
- Derived scan logprob fails when observed data provides more broadcastable information than generative graph
- Refactor: Make precision_mv_normal_logp a general-purpose function
- Mention xtensorvariable methods in dims module
- BUG: various packages missing from dev dependencies
- Premshaw04/#7713/ICAR wrapper should return MvNormal.dist instead of constructing the RV directly
- Implement icdf() method for Asymmetric Laplace distribution
- Added eigenvalue-based tests for PSD in stationary kernels
- Fix numpydoc spacing in `get_tau_sigma` docstring
- Investigate CI failure of `TestSimulator.test_custom_dist_sum_stat[float32]`
- Investigate test custom dist float32
- Docs
- Python not yet supported