ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.06143
  4. Cited By
Are deviations in a gradually varying mean relevant? A testing approach
  based on sup-norm estimators

Are deviations in a gradually varying mean relevant? A testing approach based on sup-norm estimators

14 February 2020
Axel Bücher
Holger Dette
Florian Heinrichs
ArXivPDFHTML

Papers citing "Are deviations in a gradually varying mean relevant? A testing approach based on sup-norm estimators"

6 / 6 papers shown
Title
Multiscale change point detection for dependent data
Multiscale change point detection for dependent data
Holger Dette
Theresa Eckle
Mathias Vetter
28
42
0
14 Nov 2018
Detecting gradual changes in locally stationary processes
Detecting gradual changes in locally stationary processes
M. Vogt
Holger Dette
AI4TS
54
47
0
17 Oct 2013
Multiscale Change-Point Inference
Multiscale Change-Point Inference
K. Frick
Axel Munk
H. Sieling
112
344
0
30 Jan 2013
Nonparametric inference of quantile curves for nonstationary time series
Nonparametric inference of quantile curves for nonstationary time series
Zhou Zhou
120
39
0
19 Oct 2010
Local linear quantile estimation for nonstationary time series
Local linear quantile estimation for nonstationary time series
Zhou Zhou
Wei Biao Wu
104
138
0
25 Aug 2009
Confidence bands in nonparametric time series regression
Confidence bands in nonparametric time series regression
Zhibiao Zhao
Wei Biao Wu
128
75
0
07 Aug 2008
1