DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

Python Submitted 06 October 2025Published 25 April 2026
Review

Editor: @yewentao256 (all papers)
Reviewers: @HaoyuanHe0606 (all reviews), @tomzhengy (all reviews)

Authors

Aditya Puttaparthi Tirumala (0009-0008-9495-3932)

Citation

Puttaparthi Tirumala, A., (2026). DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning. Journal of Open Source Software, 11(120), 9914, https://doi.org/10.21105/joss.09914

@article{Puttaparthi Tirumala2026, doi = {10.21105/joss.09914}, url = {https://doi.org/10.21105/joss.09914}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {120}, pages = {9914}, author = {Puttaparthi Tirumala, Aditya}, title = {DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning}, journal = {Journal of Open Source Software} }
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marketing mix modeling causal structure learning deep learning time series saturation response curves PyTorch

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ISSN 2475-9066