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 2020-04-01 to 2024-04-01.)
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 classifier9
Threshold selection in univariate extreme value analysis9
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
Gradient boosting for extreme quantile regression7
Exact asymptotics of component-wise extrema of two-dimensional Brownian motion7
Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures6
Penalized quasi-maximum likelihood estimation for extreme value models with application to flood frequency analysis6
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
Modeling spatial extremes using normal mean-variance mixtures5
Extremal clustering in non-stationary random sequences5
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
Gradient boosting with extreme-value theory for wildfire prediction4
Extreme value theory for spatial random fields – with application to a Lévy-driven field4
High-dimensional inference using the extremal skew-t process4
Improved interexceedance-times-based estimator of the extremal index using truncated distribution4
Environmental contours as Voronoi cells4
Extremes of censored and uncensored lifetimes in survival data3
Ordinal patterns in clusters of subsequent extremes of regularly varying time series3
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
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