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Bootstrap Prediction Bands for Functional Time Series
v1v2v3v4v5 (latest)

Bootstrap Prediction Bands for Functional Time Series

8 April 2020
E. Paparoditis
H. Shang
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Bootstrap Prediction Bands for Functional Time Series"

7 / 7 papers shown
Functional Sieve Bootstrap for the Partial Sum Process with Application
  to Change-Point Detection without Dimension Reduction
Functional Sieve Bootstrap for the Partial Sum Process with Application to Change-Point Detection without Dimension ReductionJournal of Time Series Analysis (JTSA), 2024
E. Paparoditis
L. Wegner
Martin Wendler
276
0
0
09 Aug 2024
Bootstrap Consistency for the Mack Bootstrap
Bootstrap Consistency for the Mack BootstrapInsurance, Mathematics & Economics (IME), 2023
Julia Steinmetz
Carsten Jentsch
139
5
0
10 Mar 2023
Stopping time detection of wood panel compression: A functional time
  series approach
Stopping time detection of wood panel compression: A functional time series approach
H. Shang
Jiguo Cao
Peijun Sang
239
5
0
27 Apr 2022
AR-sieve Bootstrap for High-dimensional Time Series
AR-sieve Bootstrap for High-dimensional Time Series
Daning Bi
H. Shang
Yanrong Yang
Huanjun Zhu
AI4TS
234
4
0
01 Dec 2021
Dynamic functional time-series forecasts of foreign exchange implied
  volatility surfaces
Dynamic functional time-series forecasts of foreign exchange implied volatility surfacesInternational Journal of Forecasting (IJF), 2021
H. Shang
Fearghal Kearney
171
23
0
22 Jul 2021
Estimating the conditional distribution in functional regression
  problems
Estimating the conditional distribution in functional regression problemsElectronic Journal of Statistics (EJS), 2021
Siegfried Hormann
T. Kuenzer
Gregory Rice
256
8
0
04 May 2021
Double bootstrapping for visualising the distribution of descriptive
  statistics of functional data
Double bootstrapping for visualising the distribution of descriptive statistics of functional data
H. Shang
82
2
0
01 Feb 2021
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