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Change-Point Detection and Bootstrap for Hilbert Space Valued Random
  Fields
v1v2 (latest)

Change-Point Detection and Bootstrap for Hilbert Space Valued Random Fields

9 November 2015
Béatrice Bucchia
Martin Wendler
ArXiv (abs)PDFHTML

Papers citing "Change-Point Detection and Bootstrap for Hilbert Space Valued Random Fields"

5 / 5 papers shown
Title
Multiple change point detection in functional data with applications to
  biomechanical fatigue data
Multiple change point detection in functional data with applications to biomechanical fatigue data
Patrick Bastian
Rupsa Basu
Holger Dette
70
3
0
18 Dec 2023
Gaussian approximation and spatially dependent wild bootstrap for
  high-dimensional spatial data
Gaussian approximation and spatially dependent wild bootstrap for high-dimensional spatial data
Daisuke Kurisu
Kengo Kato
Xiaofeng Shao
123
12
0
19 Mar 2021
A Kernel Two-Sample Test for Functional Data
A Kernel Two-Sample Test for Functional Data
George Wynne
Andrew B. Duncan
88
45
0
25 Aug 2020
Testing relevant hypotheses in functional time series via
  self-normalization
Testing relevant hypotheses in functional time series via self-normalization
Holger Dette
K. Kokot
S. Volgushev
OOD
41
45
0
17 Sep 2018
Functional data analysis in the Banach space of continuous functions
Functional data analysis in the Banach space of continuous functions
Holger Dette
K. Kokot
Alexander Aue
67
46
0
21 Oct 2017
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