Degenerate \(U\)- and \(V\)-statistics under weak dependence: asymptotic theory and bootstrap consistency
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Publication:418236
DOI10.3150/11-BEJ354zbMath1238.62059arXiv1205.1892MaRDI QIDQ418236
Publication date: 28 May 2012
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1205.1892
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)
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Limit theorems for U-statistics of Bernoulli data ⋮ Normality tests for dependent data: large-sample and bootstrap approaches ⋮ Goodness-of-fit test for stochastic volatility models ⋮ Dependent wild bootstrap for degenerate \(U\)- and \(V\)-statistics ⋮ Exponential inequalities for dependent V-statistics via random Fourier features ⋮ Degenerate \(U\)- and \(V\)-statistics under ergodicity: asymptotics, bootstrap and applications in statistics ⋮ Uniform in bandwidth consistency of conditional \(U\)-statistics adaptive to intrinsic dimension in presence of censored data ⋮ On the variable bandwidth kernel estimation of conditional \(U\)-statistics at optimal rates in sup-norm ⋮ A \(U\)-statistic approach for a high-dimensional two-sample mean testing problem under non-normality and Behrens-Fisher setting ⋮ Weak-convergence of empirical conditional processes and conditional \(U\)-processes involving functional mixing data ⋮ Change-Point Detection Under Dependence Based on Two-Sample U-Statistics ⋮ Inference of weighted \(V\)-statistics for nonstationary time series and its applications ⋮ Limit theorems for von Mises statistics of a measure preserving transformation ⋮ Bootstrap for dependent Hilbert space-valued random variables with application to von Mises statistics ⋮ Convolved subsampling estimation with applications to block bootstrap ⋮ Expansion for moments of regression quantiles with applications to nonparametric testing ⋮ U-statistics with conditional kernels for incomplete data models ⋮ New measure of the bivariate asymmetry ⋮ Theory of generalized discrepancies on a ball of arbitrary finite dimensions and algorithms for finding low-discrepancy point sets ⋮ Bootstrap Procedures for Online Monitoring of Changes in Autoregressive Models ⋮ Central limit theorems for conditional empirical and conditional \(U\)-processes of stationary mixing sequences
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