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
Press Enter · cited answer in seconds

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].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.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}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective — https://4ort.xyz/entity/significance-relevance-and-explainability-in-the-machine-learning-age-an-econometrics-and-financial-data-science-perspec (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/significance-relevance-and-explainability-in-the-machine-learning-age-an-econometrics-and-financial-data-science-perspec · Last refreshed: