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On the Bootstrap of $U$ and $V$ Statistics
Open accessAbstract
Bootstrap distributional limit theorems for $U$ and $V$ statistics are proved. They hold a.s., under weak moment conditions and without restrictions on the bootstrap sample size (as long as it tends to $\infty$), regardless of the degree of degeneracy of $U$ and $V$. A testing procedure based on these results is outlined.
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Cited by
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Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Sejdinovic, D., Sriperumbudur, B., Gretton, A., & Fukumizu, K. (2013) · The Annals of Statistics · doi:10.1214/13-aos1140 · Cited by 582
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Metadata
- Authors
- Arcones, M. A., & Gine, E.
- Venue
- The Annals of Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1992-06-01
- Volume
- 20
- Issue
- 2
- ISSN
- 0090-5364 (ISSN-L)
- OpenAlex
- W1972673289
- Cited by
- 159
- References
- 0
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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