Empirical process theory for locally stationary processes
Author:
Affiliation:
1. Institut für angewandte Mathematik, Universität Heidelberg, Im Neuenheimer Feld 205, Heidelberg, Germany
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Subject
Statistics and Probability
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A unifying approach to distributional limits for empirical optimal transport;Bernoulli;2024-11-01
2. Weak convergence of the conditional single index $ U $-statistics for locally stationary functional time series;AIMS Mathematics;2024
3. Uniform in number of neighbors consistency and weak convergence of $ k $NN empirical conditional processes and $ k $NN conditional $ U $-processes involving functional mixing data;AIMS Mathematics;2024
4. Weak convergence of the conditional U-statistics for locally stationary functional time series;Statistical Inference for Stochastic Processes;2023-12-18
5. A bootstrap functional central limit theorem for time-varying linear processes;Journal of Nonparametric Statistics;2023-11-27
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