Empirical U-statistics processes
DOI10.1016/0378-3758(92)90051-SzbMath0754.62032OpenAlexW1992789810MaRDI QIDQ1200626
Martien C. A. Van Zuijlen, Frits H. Ruymgaart
Publication date: 16 January 1993
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(92)90051-s
inequalityweak convergence theoremlocal fluctuationsfluctuation of weighted \(U\)-statisticsmultidimensional timemultivariate empirical \(U\)-statistics processsharp exponential probability boundweighted process
Multivariate analysis (62H99) Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Order statistics; empirical distribution functions (62G30) Strong limit theorems (60F15) Sample path properties (60G17)
Related Items (5)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Probability inequalities for empirical processes and a law of the iterated logarithm
- Weak convergence of the U-statistic and weak invariance of the one-sample rank order statistic for Markov processes and ARMA models
- Convergence of a class of empirical distribution functions of dependent random variables
- Asymptotic normality of generalized L-statistics with unbounded scores
- Functional limit theorems for U-processes
- On the weak convergence of empirical processes in sup-norm metrics
- Asymptotic normality of \(L\)-statistics based on \(m(n)\)-decomposable time series
- Limiting behavior of U-statistics, V-statistics, and one sample rank order statistics for nonstationary absolutely regular processes
- Note on the tail behavior of general weighted empirical processes
- Bounds for weighted multivariate empirical distribution functions
- On U-statistics and v. mise? statistics for weakly dependent processes
- Processus Empiriques Multidimensionnels: Aperçu De Quelques Résultats Récents
- Limiting behavior of U-statistics for stationary, absolutely regular processes
- Probability Inequalities for Sums of Bounded Random Variables
- GENERAL LINEAR PROCESSES:A PROPERTY OF THE EMPIRICAL PROCESS APPLIED TO DENSITY AND MODE ESTIMATION
This page was built for publication: Empirical U-statistics processes