Quantinar: a blockchain peer-to-peer ecosystem for modern data analytics

Raul Bag (), Bruno Spilak, Julian Winkel and Wolfgang Karl Härdle
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Raul Bag: Humboldt-Universität zu Berlin
Bruno Spilak: Humboldt-Universität zu Berlin
Julian Winkel: Humboldt-Universität zu Berlin
Wolfgang Karl Härdle: Humboldt-Universität zu Berlin

Computational Statistics, 2025, vol. 40, issue 3, No 9, 1396 pages

Abstract: Abstract The power of data and correct statistical analysis has never been more prevalent. Academics and practitioners require nowadays an accurate application of quantitative methods. Yet many branches are subject to a crisis of integrity, which is shown in an improper use of statistical models, p-hacking, HARKing, or failure to replicate results. We propose the use of a Peer-to-Peer (P2P) ecosystem based on a blockchain network, Quantinar , to support quantitative analytics knowledge paired with code in the form of Quantlets or software snippets. The integration of blockchain technology allows Quantinar to ensure fully transparent and reproducible scientific research.

Keywords: Blockchain; Machine learning; dao; p2p; e-Learning (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00180-024-01529-7

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