Quantinar：用于现代数据分析的区块链点对点生态系统

IF 1 4区数学 Q3 STATISTICS & PROBABILITY

Computational Statistics Pub Date : 2024-08-06 DOI:10.1007/s00180-024-01529-7

Raul Bag, Bruno Spilak, Julian Winkel, Wolfgang Karl Härdle

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引用次数: 0

摘要

数据和正确统计分析的力量从未像今天这样强大。如今，学术界和从业人员都需要准确地应用定量方法。然而，许多学科都面临着诚信危机，具体表现为统计模型使用不当、P 黑客、HARKing 或无法复制结果。我们建议使用一个基于区块链网络的点对点（P2P）生态系统--Quantinar，以支持量化分析知识与 Quantlets 或软件片段形式的代码配对。通过整合区块链技术，Quantinar 可以确保科学研究完全透明、可重复。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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

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.

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来源期刊

Computational Statistics 数学-统计学与概率论

CiteScore

2.90

自引率

0.00%

发文量

122

审稿时长

>12 weeks

期刊介绍： Computational Statistics (CompStat) is an international journal which promotes the publication of applications and methodological research in the field of Computational Statistics. The focus of papers in CompStat is on the contribution to and influence of computing on statistics and vice versa. The journal provides a forum for computer scientists, mathematicians, and statisticians in a variety of fields of statistics such as biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge based systems, and Bayesian computing. CompStat publishes hardware, software plus package reports.