Articles
Articles by Carlos Trujillo on Bayesian causal inference, marketing mix modeling, quasi-experiments, priors and budget optimization. Practical research notes with Python and PyMC.
Articles.
Causal inference, Bayesian methods and marketing science. The keywords below are the corpus itself: pick one and its articles open around it.
The index
Every article
Newest first, grouped by year. The network above is another view of this same list.
2026
- Media Does Not Stop at the City Border: Cross-City Spillovers with PyMC-Marketing August 2026
- PyTensor Beyond PyMC: Building LLM Inference in Python July 2026
- Can You Trust Your Quasi-Experiment? A Bayesian Framework for Auditing Time-Series Causal Estimates April 2026
- Decision-Making Under Contradictions: Robust Budget Allocation When Your Models Disagree February 2026
- From Experiments to Priors: Eliciting Informative Priors for Your Marketing Mix Model February 2026
2025
- Bayesian Models and Risk Optimization August 2025
- Media Mix Model calibration is useless without causal knowledge April 2025
- Baby Steps for Causal Discovery February 2025
Want the short version?
Talks cover the same ground out loud, and the diary is where the work in progress lives.