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Detecting gradual changes in locally stationary processes
17 October 2013
M. Vogt
Holger Dette
AI4TS
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Papers citing
"Detecting gradual changes in locally stationary processes"
13 / 13 papers shown
Title
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
Jialin Li
Marta Zagorowska
Giulia De Pasquale
Alisa Rupenyan
John Lygeros
87
3
0
26 Sep 2024
Gradual changes in functional time series
Patrick Bastian
Holger Dette
AI4TS
104
3
0
10 Jul 2024
Predictive change point detection for heterogeneous data
Anna-Christina Glock
F. Sobieczky
Johannes Furnkranz
Peter Filzmoser
M. Jech
50
1
0
11 May 2023
Difference-based covariance matrix estimate in time series nonparametric regression with applications to specification tests
Lujia Bai
Weichi Wu
AI4TS
28
1
0
29 Mar 2023
Functional estimation and change detection for nonstationary time series
Fabian Mies
10
7
0
01 Dec 2022
Detecting long-range dependence for time-varying linear models
Lujia Bai
Weichi Wu
67
1
0
15 Oct 2021
Change-Point Analysis of Time Series with Evolutionary Spectra
A. Casini
Pierre Perron
14
11
0
03 Jun 2021
Continuous-time locally stationary time series models
Annemarie Bitter
R. Stelzer
Bennet Ströh
17
4
0
28 Apr 2021
Are deviations in a gradually varying mean relevant? A testing approach based on sup-norm estimators
Axel Bücher
Holger Dette
Florian Heinrichs
23
13
0
14 Feb 2020
On detecting changes in the jumps of arbitrary size of a time-continuous stochastic process
Michael Hoffmann
Holger Dette
13
3
0
23 Feb 2018
Nonparametric inference of gradual changes in the jump behaviour of time-continuous processes
Michael Hoffmann
Mathias Vetter
Holger Dette
9
6
0
13 Apr 2017
Consistent change-point detection with kernels
Damien Garreau
Sylvain Arlot
85
79
0
14 Dec 2016
Asymptotics for change-point models under varying degrees of mis-specification
Rui Song
Moulinath Banerjee
Michael R. Kosorok
78
10
0
02 Sep 2014
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