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Testing relevant hypotheses in functional time series via
  self-normalization
v1v2v3 (latest)

Testing relevant hypotheses in functional time series via self-normalization

17 September 2018
Holger Dette
K. Kokot
S. Volgushev
    OOD
ArXiv (abs)PDFHTML

Papers citing "Testing relevant hypotheses in functional time series via self-normalization"

21 / 21 papers shown
Title
Estimation of the long-run variance of nonlinear time series with an
  application to change point analysis
Estimation of the long-run variance of nonlinear time series with an application to change point analysis
V. Characiejus
P. Kokoszka
Xiangdong Meng
24
0
0
03 Apr 2024
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
Testing for equivalence of pre-trends in Difference-in-Differences
  estimation
Testing for equivalence of pre-trends in Difference-in-Differences estimation
Holger Dette
Martin Schumann
22
9
0
24 Oct 2023
Power and sample size calculation of two-sample projection-based testing
  for sparsely observed functional data
Power and sample size calculation of two-sample projection-based testing for sparsely observed functional data
Salil Koner
Sheng Luo
20
0
0
10 Oct 2023
Monitoring Machine Learning Models: Online Detection of Relevant
  Deviations
Monitoring Machine Learning Models: Online Detection of Relevant Deviations
Florian Heinrichs
52
3
0
26 Sep 2023
A statistical framework for analyzing shape in a time series of random
  geometric objects
A statistical framework for analyzing shape in a time series of random geometric objects
Anne van Delft
Andrew J. Blumberg
83
2
0
04 Apr 2023
Validating Approximate Slope Homogeneity in Large Panels
Validating Approximate Slope Homogeneity in Large Panels
T. Kutta
Holger Dette
61
2
0
04 May 2022
Detecting relevant changes in the spatiotemporal mean function
Detecting relevant changes in the spatiotemporal mean function
Holger Dette
P. Quanz
TTA
25
6
0
09 Mar 2022
An RKHS approach for pivotal inference in functional linear regression
An RKHS approach for pivotal inference in functional linear regression
Holger Dette
Jiajun Tang
47
0
0
16 Feb 2022
Location-Adaptive Change-Point Testing for Time Series
Linlin Dai
R. She
8
0
0
28 Oct 2021
Confidence surfaces for the mean of locally stationary functional time
  series
Confidence surfaces for the mean of locally stationary functional time series
Holger Dette
Weichi Wu
50
4
0
08 Sep 2021
Nonasymptotic one-and two-sample tests in high dimension with unknown
  covariance structure
Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure
Gilles Blanchard
Jean-Baptiste Fermanian
23
2
0
01 Sep 2021
Statistical inference for the slope parameter in functional linear
  regression
Statistical inference for the slope parameter in functional linear regression
T. Kutta
Gauthier Dierickx
Holger Dette
58
4
0
16 Aug 2021
On the estimation of locally stationary functional time series
On the estimation of locally stationary functional time series
Daisuke Kurisu
83
6
0
25 May 2021
Detecting relevant differences in the covariance operators of functional
  time series -- a sup-norm approach
Detecting relevant differences in the covariance operators of functional time series -- a sup-norm approach
Holger Dette
K. Kokot
70
17
0
12 Jun 2020
Rank-based change-point analysis for long-range dependent time series
Rank-based change-point analysis for long-range dependent time series
Annika Betken
Martin Wendler
24
3
0
14 Apr 2020
Pivotal tests for relevant differences in the second order dynamics of
  functional time series
Pivotal tests for relevant differences in the second order dynamics of functional time series
Anne van Delft
Holger Dette
20
2
0
09 Apr 2020
Quantifying deviations from separability in space-time functional
  processes
Quantifying deviations from separability in space-time functional processes
Holger Dette
Gauthier Dierickx
T. Kutta
19
9
0
26 Mar 2020
Detecting structural breaks in eigensystems of functional time series
Detecting structural breaks in eigensystems of functional time series
Holger Dette
T. Kutta
32
12
0
18 Nov 2019
Two-sample tests for relevant differences in the eigenfunctions of
  covariance operators
Two-sample tests for relevant differences in the eigenfunctions of covariance operators
Alexander Aue
Holger Dette
Gregory Rice
14
7
0
13 Sep 2019
Specification testing in semi-parametric transformation models
Specification testing in semi-parametric transformation models
Nick Kloodt
N. Neumeyer
Ingrid Van Keilegom
13
2
0
02 Jul 2019
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