The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Forecasting gold price with the XGBoost algorithm and SHAP interaction values
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
XGBoost: A Scalable Tree Boosting System
Chen, T., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2939672.2939785 · Cited by 54,569
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
A Unified Approach to Interpreting Model Predictions
Lundberg, S., & Lee, S.-I. (2017) · arXiv · doi:10.48550/arxiv.1705.07874 · Cited by 23,707
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
(2017) · HAL · Cited by 10,512
17. A Value for n-Person Games
Shapley, L. S. (1953) · Contributions to the Theory of Games (AM-28), Volume II · doi:10.1515/9781400881970-018 · Cited by 6,950
Explaining prediction models and individual predictions with feature contributions
Štrumbelj, E., & Kononenko, I. (2014) · Knowledge and Information Systems · doi:10.1007/s10115-013-0679-x · Cited by 2,286
Is gold a safe haven? International evidence
Baur, D. G., & McDermott, T. K. (2010) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2009.12.008 · Cited by 1,947
Villarraga Ossa, E. F. (2021) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 1,688
Consistent Individualized Feature Attribution for Tree Ensembles
Lundberg, S. M., Erion, G. G., & Lee, S.-I. (2018) · arXiv · doi:10.48550/arxiv.1802.03888 · Cited by 1,430
Metadata
- Authors
- Jabeur, S. B., Mefteh-Wali, S., & Viviani, J.-L.
- Venue
- Annals of Operations Research
- Published
- 2021-07-23
- Volume
- 334
- Issue
- 1-3
- Pages
- 679-699
- ISSN
- 0254-5330 (ISSN-L)
- 1572-9338
- OpenAlex
- W3184255274
- Cited by
- 328
- References
- 74
- FWCI
- 27.56
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Forecasting gold price with the XGBoost algorithm and SHAP interaction values. https://app.cochat.ai/papers/10.1007/s10479-021-04187-w
- The paper
- Jabeur, S. B., Mefteh-Wali, S., & Viviani, J.-L. (2024). Forecasting gold price with the XGBoost algorithm and SHAP interaction values. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04187-w
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
