Functional central limit theorems for $U$-statistics of beta-mixing data
Fuente:
arXiv
Saved in:
| Main Author: | |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910271882133504 |
|---|---|
| author | Giraudo, Davide |
| author_facet | Giraudo, Davide |
| contents | We investigate the convergence of partial sum processes based on a strictly stationary $β$-mixing sequence of random variables. The convergence in the space of continuous function as well as in H{ö}lder spaces is considered. The conditions are close to optimality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_30999 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Functional central limit theorems for $U$-statistics of beta-mixing data Giraudo, Davide Probability Statistics Theory We investigate the convergence of partial sum processes based on a strictly stationary $β$-mixing sequence of random variables. The convergence in the space of continuous function as well as in H{ö}lder spaces is considered. The conditions are close to optimality. |
| title | Functional central limit theorems for $U$-statistics of beta-mixing data |
| topic | Probability Statistics Theory |
| url | https://arxiv.org/abs/2605.30999 |