PyMC Bayesian Modeling

Version and scope

Targets PyMC 6.3.2, PyTensor 3.3.2, and ArviZ 1.3.0. These are local Python APIs, with no service endpoint, credentials, or remote inference required. The native tests use the PyMC NUTS sampler on small synthetic models. Optional nutpie/JAX samplers, SMC, and production-scale convergence are not validated by those tests. Record the complete resolved environment, backend, seeds, preprocessing, and data provenance for a scientific run.

Local macOS validation used PYTENSOR_FLAGS="cxx=" after the C linker failed with library 'd64' not found; this disables PyTensor C compilation for that process. The Python library workflows passed under that setting; it does not establish that the C backend works on this host.