Tag: pymc

All the articles with the tag "pymc".

• Simulation-Based Calibration: The Missing Test in Your Bayesian Workflow

  29 Jun, 2026

  Passing R-hat and ESS tells you the sampler converged — it says nothing about whether the inference is correct. Simulation-Based Calibration is the test that checks the inference itself.

• Read the Diagnostics First

  28 Jun, 2026

  R-hat, ESS, and divergences are not bureaucratic hurdles before you report a ROAS — they're the sampler telling you whether its output is valid. Here's what each one actually measures and what it reveals when it fails.

• mmm-framework 0.1.0 Is on PyPI

  28 Jun, 2026

  The first public release of mmm-framework — a Bayesian marketing-mix modeling library built on PyMC-Marketing, designed around methodological rigor instead of specification shopping. pip install mmm-framework.

• Building a Pre-Specified Bayesian MMM

  26 Jun, 2026

  Most marketing mix models are tuned until the numbers flatter the brief. Here's the case for pre-specifying the model instead, and how mmm-framework builds the discipline into its API.