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A Portmanteau-type test for detecting serial correlation in locally
  stationary functional time series

A Portmanteau-type test for detecting serial correlation in locally stationary functional time series

15 September 2020
Axel Bücher
Holger Dette
Florian Heinrichs
ArXiv (abs)PDFHTML

Papers citing "A Portmanteau-type test for detecting serial correlation in locally stationary functional time series"

5 / 5 papers shown
Title
EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines
EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines
Tiago Vasconcelos Afonso
Florian Heinrichs
FedML
49
0
0
02 Apr 2025
Detecting relevant deviations from the white noise assumption for
  non-stationary time series
Detecting relevant deviations from the white noise assumption for non-stationary time series
Patrick Bastian
59
0
0
11 Nov 2024
GT-PCA: Effective and Interpretable Dimensionality Reduction with
  General Transform-Invariant Principal Component Analysis
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
Florian Heinrichs
OOD
53
2
0
28 Jan 2024
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
93
2
0
04 Apr 2023
Functional Neural Networks: Shift invariant models for functional data
  with applications to EEG classification
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Florian Heinrichs
Mavin Heim
Corinna Weber
OOD
54
8
0
14 Jan 2023
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