Abstract
In this paper, we study a high-dimensional random matrix model from nonparametric statistics called the Kendall rank correlation matrix, which is a natural multivariate extension of the Kendall rank correlation coefficient. We establish the Tracy-Widom law for its largest eigenvalue. It is the first Tracy-Widom law for a nonparametric random matrix model, and also the first Tracy-Widom law for a high-dimensional U-statistic.
| Original language | English |
|---|---|
| Pages (from-to) | 3504-3532 |
| Journal | Annals of Statistics |
| Volume | 47 |
| DOIs | |
| Publication status | Published - Feb 2019 |
Keywords
- Tracy-Widom law
- Largest eigenvalue
- Nonparametric statistics
- U-statistics
- Random matrices