PyMC-Marketing: Bayesian Marketing Mix Models and Customer Analytics in Python

William Dean; Juan Orduz; Colt Allen; Carlos Eduardo Trujillo Agostini; Ricardo Vieira; Benjamin T. Vincent; Thomas V. Wiecki; Nathaniel Forde; Luciano Paz; Pablo de Roque; Imri Sofer; Larry Dong; Erik J. Ringen

doi:10.21105/joss.10805

Review

Editor: @nkrusch (all papers)
Reviewers: @allanvc (all reviews), @DanWaxman (all reviews), @markean (all reviews)

Authors

William Dean (0009-0003-6510-3545), Juan Orduz (0000-0002-1097-6125), Colt Allen (0009-0006-8055-6560), Carlos Eduardo Trujillo Agostini (0009-0009-5926-5701), Ricardo Vieira (0000-0003-4690-7110), Benjamin T. Vincent (0000-0002-8801-2430), Thomas V. Wiecki (0009-0000-6015-101X), Nathaniel Forde (0009-0005-7585-0987), Luciano Paz (0000-0002-6255-3888), Pablo de Roque (0000-0002-0751-9126), Imri Sofer (0009-0002-5367-3850), Larry Dong (0000-0001-7775-7798), Erik J. Ringen (0000-0002-3565-6961)

Citation

Dean et al., (2026). PyMC-Marketing: Bayesian Marketing Mix Models and Customer Analytics in Python. Journal of Open Source Software, 11(124), 10805, https://doi.org/10.21105/joss.10805

@article{Dean2026, doi = {10.21105/joss.10805}, url = {https://doi.org/10.21105/joss.10805}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {124}, pages = {10805}, author = {Dean, William and Orduz, Juan and Allen, Colt and Agostini, Carlos Eduardo Trujillo and Vieira, Ricardo and Vincent, Benjamin T. and Wiecki, Thomas V. and Forde, Nathaniel and Paz, Luciano and de Roque, Pablo and Sofer, Imri and Dong, Larry and Ringen, Erik J.}, title = {PyMC-Marketing: Bayesian Marketing Mix Models and Customer Analytics in Python}, journal = {Journal of Open Source Software} }

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