Open Access
| Issue |
SHS Web Conf.
Volume 231, 2026
7th International Symposium on Frontiers of Economics and Management Science (FEMS 2026)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/shsconf/202623101005 | |
| Published online | 19 May 2026 | |
- Chen, T. and C. Guestrin (2016). Xgboost: A scalable tree boosting system. Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, 785–794. [Google Scholar]
- Chernozhukov, V., D. Chetverikov, M. Demirer, E. Duflo, C. Hansen, W. Newey, and J. Robins (2018). Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal 21(1), C1-C68. DOI: 10.1111/ectj.12097 [Google Scholar]
- Deaton, A. and G. Laroque (1992). On the behaviour of commodity prices. The Review of Economic Studies 59(1), 1–23. [Google Scholar]
- Hochreiter, S. and J. Schmidhuber (1997). Long short-term memory. Neural computation 9(8), 1735–1780. [Google Scholar]
- Imbens, G. W. and D. B. Rubin (2015). Causal inference in statistics, social, and biomedical sciences. Cambridge University Press. [Google Scholar]
- Ke, G., Q. Meng, T. Finley, T. Wang, W. Chen, W. Ma, Q. Ye, and T.-Y. Liu (2017). Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30. [Google Scholar]
- Morana, C. (2001). A semiparametric approach to short-term oil price forecasting. Energy Economics 23(3), 325–338. DOI: 10.1016/S0140-9883(00)00075-X [Google Scholar]
- Moritz, P. and S. Zimmermann (2021). Causal deep learning. arXiv preprint arXiv:2103.02325. [Google Scholar]
- Pearl, J. (2009). Causality. Cambridge university press. [Google Scholar]
- Sermpinis, G., J. Laws, and A. Karathanasopoulos (2012). Modelling and trading the us implicit production price index. The European Journal of Finance 18(6), 529–548. [Google Scholar]
- Spirtes, P., C. N. Glymour, and R. Scheines (2000). Causation, prediction, and search. MIT press. [Google Scholar]
- Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin (2017). Attention is all you need. Advances in neural information processing systems 30. [Google Scholar]
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