Limits of canonical \(U\)-processes and \(B\)-valued \(U\)-statistics
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Publication:1322911
DOI10.1007/BF02214273zbMath0807.60008MaRDI QIDQ1322911
Publication date: 28 February 1995
Published in: Journal of Theoretical Probability (Search for Journal in Brave)
weak convergence\(U\)-statisticsdecouplingcanonical kernels\(U\)-processlaw of a chaos processtype two space
Gaussian processes (60G15) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)
Related Items (10)
The central limit theorem for \(U\)-processes indexed by Hölder's functions ⋮ The law of the iterated logarithm for empirical processes under absolute regularity ⋮ On the law of the iterated logarithm for canonical \(U\)-statistics and processes ⋮ Weak convergence of stochastic processes indexed by smooth functions ⋮ Some remarks on the uniform weak convergence of stochastic processes ⋮ Weak convergence of convex stochastic processes ⋮ The law of the iterated logarithm and Marcinkiewicz law of large numbers for \(B\)-valued \(U\)-statistics ⋮ Gaussian chaos laws on Banach function spaces ⋮ Characterization of LIL Behavior for Non-DegenerateB-ValuedU-Statistics ⋮ DD-Classifier: Nonparametric Classification Procedure Based onDD-Plot
Cites Work
- Limit theorems for \(U\)-processes
- Empirical processes indexed by Lipschitz functions
- Functional limit theorems for U-processes
- Asymptotic distribution of symmetric statistics
- Decoupling and Khintchine's inequalities for \(U\)-statistics
- On decoupling, series expansions, and tail behavior of chaos processes
- The law of large numbers and the central limit theorem in Banach spaces
- The central limit theorem for stochastic processes
- $UB$-Statistics
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