Extremes

Papers
(The TQCC of Extremes is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Matrix Mittag–Leffler distributions and modeling heavy-tailed risks15
Parametric models for distributions when interest is in extremes with an application to daily temperature13
A regionalisation approach for rainfall based on extremal dependence12
Inference on extremal dependence in the domain of attraction of a structured Hüsler–Reiss distribution motivated by a Markov tree with latent variables11
Basin-wide spatial conditional extremes for severe ocean storms11
Extreme value theory for anomaly detection – the GPD classifier10
Threshold selection in univariate extreme value analysis9
Gradient boosting for extreme quantile regression8
The tail process and tail measure of continuous time regularly varying stochastic processes8
Editorial: EVA 2021 data challenge on spatiotemporal prediction of wildfire extremes in the USA7
Exact asymptotics of component-wise extrema of two-dimensional Brownian motion7
Penalized quasi-maximum likelihood estimation for extreme value models with application to flood frequency analysis6
Environmental contours as Voronoi cells6
Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures6
Modeling spatial extremes using normal mean-variance mixtures5
Extremal clustering in non-stationary random sequences5
Asymptotic dependence of in- and out-degrees in a preferential attachment model with reciprocity5
Pandemic-type failures in multivariate Brownian risk models5
Extreme values of linear processes with heavy-tailed innovations and missing observations5
Gradient boosting with extreme-value theory for wildfire prediction4
Extreme value theory for spatial random fields – with application to a Lévy-driven field4
Improved interexceedance-times-based estimator of the extremal index using truncated distribution4
High-dimensional inference using the extremal skew-t process4
Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes4
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes4
Palm theory for extremes of stationary regularly varying time series and random fields4
A refined Weissman estimator for extreme quantiles3
On agricultural commodities’ extreme price risk3
Critical branching processes in random environment with immigration: survival of a single family3
Threshold selection and trimming in extremes3
Extremes of censored and uncensored lifetimes in survival data3
Ordinal patterns in clusters of subsequent extremes of regularly varying time series3
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