Tag: pymc

All the articles with the tag "pymc".

• 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.

• Bayesian Models as Configuration

  20 Jun, 2026

  Treating a Bayesian marketing-mix model as declarative configuration — variables, transforms, normalization, and priors in JSON — so a malformed input file fails validation before you fit instead of after you've shipped the wrong number.

• Bayesian Brand Tracking, Honestly

  17 Jun, 2026

  Why weekly brand-tracker survey data needs a Binomial likelihood instead of raw percentages, what a small PyMC model actually buys you, and where partial pooling and state-space smoothing come next.