Posts
All the articles I've posted.
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Bayesian Models as Configuration
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.
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Bayesian Brand Tracking, Honestly
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.