Statistics, Prediction and Causality for Large-Scale Data

Statistics, Prediction and Causality for Large-Scale Data is a science project.

Event research_grant eu_cordis:786461
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Key Facts

  • Start time: October 1, 2018[1]
  • End time: March 31, 2024[2]
  • Participant: ETH Zurich[3]
  • Short name: CausalStats[4]
  • Budget: 2,184,375 euro[5]
  • Funding scheme: Horizon 2020[6]

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APA 4ort.xyz Knowledge Graph. (2026). Statistics, Prediction and Causality for Large-Scale Data. Retrieved October 8, 2026, from https://4ort.xyz/entity/statistics-prediction-and-causality-for-large-scale-data
MLA “Statistics, Prediction and Causality for Large-Scale Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 8 Oct. 2026, https://4ort.xyz/entity/statistics-prediction-and-causality-for-large-scale-data.
BibTeX @misc{4ortxyz_statistics-prediction-and-causality-for-large-scale-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Statistics, Prediction and Causality for Large-Scale Data}}, year = {2026}, url = {https://4ort.xyz/entity/statistics-prediction-and-causality-for-large-scale-data}, note = {Accessed: 2026-10-08}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Statistics, Prediction and Causality for Large-Scale Data — https://4ort.xyz/entity/statistics-prediction-and-causality-for-large-scale-data (retrieved 2026-10-08)

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