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 | |
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【 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 |
|---|---|---|---|
| RO201904021337640ZK.pdf | 869KB |
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