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Bootstrapping Empirical Processes of Cluster Functionals with
  Application to Extremograms

Bootstrapping Empirical Processes of Cluster Functionals with Application to Extremograms

2 November 2015
H. Drees
ArXiv (abs)PDFHTML

Papers citing "Bootstrapping Empirical Processes of Cluster Functionals with Application to Extremograms"

7 / 7 papers shown
Title
Bootstrapping Estimators based on the Block Maxima Method
Bootstrapping Estimators based on the Block Maxima Method
Axel Bücher
Torben Staud
147
0
0
09 Sep 2024
Statistics for Heteroscedastic Time Series Extremes
Statistics for Heteroscedastic Time Series Extremes
Axel Bücher
Tobias Jennessen
38
3
0
20 Apr 2022
Asymptotics for sliding blocks estimators of rare events
Asymptotics for sliding blocks estimators of rare events
H. Drees
Sebastian Neblung
99
9
0
02 Mar 2020
Ordinal Patterns in Clusters of Subsequent Extremes of Regularly Varying
  Time Series
Ordinal Patterns in Clusters of Subsequent Extremes of Regularly Varying Time Series
M. Oesting
Alexander Schnurr
44
4
0
04 Feb 2019
Peak-over-Threshold Estimators for Spectral Tail Processes: Random vs
  Deterministic Thresholds
Peak-over-Threshold Estimators for Spectral Tail Processes: Random vs Deterministic Thresholds
H. Drees
Miran Knežević
42
10
0
16 Jan 2019
Statistical inference for heavy tailed series with extremal independence
Statistical inference for heavy tailed series with extremal independence
Clémonell Bilayi-Biakana
Rafal Kulik
P. Soulier
87
3
0
29 Apr 2018
Generalised least squares estimation of regularly varying space-time
  processes based on flexible observation schemes
Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes
S. Buhl
Claudia Klüppelberg
40
5
0
19 Apr 2017
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