Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Segers, Johan
2003.
Approximate Distributions of Clusters of Extremes.
SSRN Electronic Journal,
Segers, Johan
2005.
Approximate distributions of clusters of extremes.
Statistics & Probability Letters,
Vol. 74,
Issue. 4,
p.
330.
Drees, Holger
2008.
Some aspects of extreme value statistics under serial dependence.
Extremes,
Vol. 11,
Issue. 1,
p.
35.
Basrak, Bojan
and
Segers, Johan
2009.
Regularly varying multivariate time series.
Stochastic Processes and their Applications,
Vol. 119,
Issue. 4,
p.
1055.
Drees, Holger
and
Rootzén, Holger
2010.
Limit theorems for empirical processes of cluster functionals.
The Annals of Statistics,
Vol. 38,
Issue. 4,
Robert, C.Y.
2010.
On asymptotic distribution of maxima of stationary sequences subject to random failure or censoring.
Statistics & Probability Letters,
Vol. 80,
Issue. 2,
p.
134.
Laurini, Fabrizio
and
Tawn, Jonathan A.
2012.
The extremal index for GARCH(1, 1) processes.
Extremes,
Vol. 15,
Issue. 4,
p.
511.
Drees, Holger
2012.
Encyclopedia of Environmetrics.
Basrak, Bojan
Krizmanić, Danijel
and
Segers, Johan
2012.
A functional limit theorem for dependent sequences with infinite variance stable limits.
The Annals of Probability,
Vol. 40,
Issue. 5,
Resnick, Sidney I.
and
Zeber, David
2013.
Clustering of Markov chain exceedances.
Bernoulli,
Vol. 19,
Issue. 4,
Drees, Holger
2014.
Wiley StatsRef: Statistics Reference Online.
Gómez, José G.
2018.
Dependent Lindeberg central limit theorem for the fidis of empirical processes of cluster functionals.
Statistics,
Vol. 52,
Issue. 5,
p.
955.
Ling, Chengxiu
2019.
Extremes of stationary random fields on a lattice.
Extremes,
Vol. 22,
Issue. 3,
p.
391.
Gómez-García, José G.
and
Chesneau, Christophe
2021.
A Dependent Lindeberg Central Limit Theorem for Cluster Functionals on Stationary Random Fields.
Mathematics,
Vol. 9,
Issue. 3,
p.
212.
Drees, Holger
and
Neblung, Sebastian
2021.
Asymptotics for sliding blocks estimators of rare events.
Bernoulli,
Vol. 27,
Issue. 2,
Laurini, Fabrizio
Fearnhead, Paul
and
Tawn, Jonathan
2022.
Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes.
Statistics and Computing,
Vol. 32,
Issue. 6,
Jennessen, Tobias
and
Bücher, Axel
2023.
Weighted weak convergence of the sequential tail empirical process for heteroscedastic time series with an application to extreme value index estimation.
Extremes,
Mladenović, Pavle
2024.
Extreme Values In Random Sequences.
p.
61.