GlobalSearchRegression.jl: Building bridges between Machine Learning and Econometrics in Fat-Data scenarios

Submitted 25 July 2019Published 30 July 2020
Review

Editor: @vchuravy (all papers)
Reviewers: @Nosferican (all reviews), @andreasnoack (all reviews)

Authors

Demian Panigo (0000-0003-2468-1632), Pablo Glüzmann (0000-0001-6570-383X), Esteban Mocskos (0000-0002-6473-7672), Adan Mauri Ungaro (0000-0003-3106-3912), Valentin Mari (0000-0003-1489-6525), Nicolás Monzón (0000-0002-4846-7916)

Citation

Panigo et al., (2020). GlobalSearchRegression.jl: Building bridges between Machine Learning and Econometrics in Fat-Data scenarios. JuliaCon Proceedings, 2(13), 53, https://doi.org/10.21105/jcon.00053

@article{Panigo2020, doi = {10.21105/jcon.00053}, url = {https://doi.org/10.21105/jcon.00053}, year = {2020}, publisher = {The Open Journal}, volume = {2}, number = {13}, pages = {53}, author = {Demian Panigo and Pablo Glüzmann and Esteban Mocskos and Adan Mauri Ungaro and Valentin Mari and Nicolás Monzón}, title = {GlobalSearchRegression.jl: \\ Building bridges between Machine Learning and Econometrics in Fat-Data scenarios}, journal = {Proceedings of the JuliaCon Conferences} }
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ISSN 2642-4029