Bayesian modeling for extracting latent signals from high dimensional time series data.
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Updated
Jan 8, 2026 - Jupyter Notebook
Bayesian modeling for extracting latent signals from high dimensional time series data.
A Unified Measurement Framework combining Bayesian Marketing Mix Modeling (PyMC), Causal Calibration (Geo-Lift Simulation), and Budget Optimization (SciPy) to solve attribution in a post-cookie world. Includes a full Medallion Architecture data pipeline.
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