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Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective
Research article (European Journal of Finance, 2020) · cited 44× · AI/ML
Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective
Summary
Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective is a scholarly article[1].
Key Facts
Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective. Retrieved May 24, 2026, from https://4ort.xyz/entity/significance-relevance-and-explainability-in-the-machine-learning-age-an-econometrics-and-financial-data-science-perspec
MLA“Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/significance-relevance-and-explainability-in-the-machine-learning-age-an-econometrics-and-financial-data-science-perspec.
BibTeX@misc{4ortxyz_significance-relevance-and-explainability-in-the-machine-learning-age-an-econometrics-and-financial-data-science-perspec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective}}, year = {2026}, url = {https://4ort.xyz/entity/significance-relevance-and-explainability-in-the-machine-learning-age-an-econometrics-and-financial-data-science-perspec}, note = {Accessed: 2026-05-24}}
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