Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices

Research article (Royal Society Open Science, 2020) · cited 41× · AI/ML
Press Enter · cited answer in seconds

Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices

Summary

Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices is a scholarly article[1].

Key Facts

  • Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices'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). Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices. Retrieved May 24, 2026, from https://4ort.xyz/entity/information-theoretic-measures-for-nonlinear-causality-detection-application-to-social-media-sentiment-and-cryptocurrenc
MLA “Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/information-theoretic-measures-for-nonlinear-causality-detection-application-to-social-media-sentiment-and-cryptocurrenc.
BibTeX @misc{4ortxyz_information-theoretic-measures-for-nonlinear-causality-detection-application-to-social-media-sentiment-and-cryptocurrenc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices}}, year = {2026}, url = {https://4ort.xyz/entity/information-theoretic-measures-for-nonlinear-causality-detection-application-to-social-media-sentiment-and-cryptocurrenc}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Information-theoretic measures for nonlinear causality detection: application to social media sentiment and cryptocurrency prices — https://4ort.xyz/entity/information-theoretic-measures-for-nonlinear-causality-detection-application-to-social-media-sentiment-and-cryptocurrenc (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/information-theoretic-measures-for-nonlinear-causality-detection-application-to-social-media-sentiment-and-cryptocurrenc · Last refreshed: