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

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,...

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Bibliographic Details
Published inComputational statistics Vol. 40; no. 3; pp. 1361 - 1396
Main Authors Bag, Raul, Spilak, Bruno, Winkel, Julian, Härdle, Wolfgang Karl
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025
Subjects
Economic Theory/Quantitative Economics/Mathematical Methods
Mathematics and Statistics
Original Paper
Probability and Statistics in Computer Science
Probability Theory and Stochastic Processes
Statistics
dao
Blockchain
Machine learning
e-Learning
p2p
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Summary: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.
ISSN:0943-4062
1613-9658
DOI:10.1007/s00180-024-01529-7