Matrix Completion for the Prediction of Yearly Country and Industry-Level CO$$

Matrix Completion for the Prediction of Yearly Country and Industry-Level CO$$_2$$ Emissions

Published:2023 Issue: Volume: Page:14-19
ISSN:0302-9743
Container-title:Machine Learning, Optimization, and Data Science
language:
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Author:

Biancalani Francesco,Gnecco Giorgio,Metulini Rodolfo,Riccaboni Massimo

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25599-1_2

Reference5 articles.

1. Hastie, T., Tibshirani, R., Wainwright, M.: Statistical Learning with Sparsity: The Lasso and its Generalizations. CRC Press, Boca Raton (2015)

2. Metulini, R., Gnecco, G., Biancalani, F., Riccaboni, M.: Hierarchical clustering and matrix completion for the reconstruction of world input-output tables. AStA - Adv. Stat. Anal. (2022). https://doi.org/10.1007/s10182-022-00448-6

3. Corsatea, T.D., et al.: World input-output database environmental accounts. Update 2000–2016. Publications Office of the European Union, Luxembourg (2019). https://doi.org/10.2791/947252

4. Mazumder, R., Hastie, T., Tibshirani, R.: Spectral regularization algorithms for learning large incomplete matrices. J. Mach. Learn. Res. 11, 2287–2322 (2010)

5. Gnecco, G., Nutarelli, F., Selvi, D.: Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model. Mach. Learn. 110, 1549–1584 (2021)

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1. The impact of the European Union emissions trading system on carbon dioxide emissions: a matrix completion analysis;Scientific Reports;2024-08-24

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