期刊论文详细信息
Frontiers in Applied Mathematics and Statistics | |
Brownian Forgery of Statistical Dependences | |
Wens, Vincent1  | |
[1] Laboratoire de Cartographie fonctionnelle du Cerveau, ULB Neurosciences Institute, Université libre de Bruxelles, Belgium | |
关键词: Brownian distance covariance; Brownian Motion; nonlinear correlation; Levy'; s forgery theorem; Statistical independence; | |
DOI : 10.3389/fams.2018.00019 | |
学科分类:数学(综合) | |
来源: Frontiers | |
【 摘 要 】
The balance held by Brownian motion between temporal regularity and randomness is embodied in a remarkable way by Levy's forgery of continuous functions. Here we describe how this property can be extended to forge arbitrary dependences between two statistical systems, and then establish a new Brownian independence test based on fluctuating random paths. We also argue that this result allows revisiting the theory of Brownian covariance from a physical perspective and opens the possibility of engineering nonlinear correlation measures from more general functional integrals.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201901229957000ZK.pdf | 869KB | download |