Extremes

Papers
(The median citation count of Extremes is 1. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
On approximating dependence function and its derivatives91
Asymptotic theory for estimation of the Hüsler-Reiss distribution via block maxima method34
Extreme conformal prediction: Reliable intervals for high-impact events16
Tail adversarial stability for regularly varying linear processes and their extensions16
Exchangeable min-id sequences: Characterization, exponent measures and non-decreasing id-processes15
Non-stationary max-stable models with an application to heavy rainfall data14
MOPED: A moving sum method for change point detection in pairwise extremal dependence11
Probability of entering an orthant by correlated fractional Brownian motion with drift: exact asymptotics11
Functional strong law of large numbers for Betti numbers in the tail9
Analysis of wildfires and their extremes via spatial quantile autoregressive model7
Modern extreme value statistics for Utopian extremes. EVA (2023) Conference Data Challenge: Team Yalla7
Leadbetter-type conditions for bounding the Hausdorff metric of compactly supported stationary sequences7
Conditional extreme value estimation for dependent time series6
Conditions for finiteness and bounds on moments of record values from iid continuous life distributions6
A wee exploration of techniques for risk assessments of extreme events6
Large nearest neighbour balls in hyperbolic stochastic geometry6
Regional pooling in extreme event attribution studies: an approach based on multiple statistical testing6
Running minimum in the best-choice problem5
Causality in extremes of time series5
Cross-validation on extreme regions5
Max-semistable extreme value laws for autoregressive processes with Cantor-like marginals5
Tail dependence coefficients of moving average processes driven by exponential-tailed Lévy noise4
Generative machine learning for multivariate angular simulation4
Tail probabilities of random linear functions of regularly varying random vectors3
Extreme positions of regularly varying branching random walk in a random and time-inhomogeneous environment3
Simple sufficient criteria for second-order extended regular variation in the Gumbel domain of attraction: The case of Weibull-tailed distributions3
Curse of scale-freeness: Intractability of large-scale optimization with multi-start methods3
Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function3
Continuous simulation of storm processes3
Accurate estimates of ultimate 100-meter records3
Extreme value methods for estimating rare events in Utopia3
Poisson approximation of large-lifetime cycles3
Publisher Correction: Integral Functionals and the Bootstrap for the Tail Empirical Process3
Random networks with heterogeneous reciprocity3
Multivariate peaks-over-threshold with latent variable representations of generalized Pareto vectors2
A modeler’s guide to extreme value software2
Generalized Rényi statistics2
Extreme value statistics for analysing simulated environmental extremes2
Which distributions in the max-domain of attraction satisfy von Mises representation or variation representation for a given auxiliary function?2
Tail-dependence, exceedance sets, and metric embeddings2
Extremes for stationary regularly varying random fields over arbitrary index sets1
Stochastic ordering in multivariate extremes1
The longest edge in discrete and continuous long-range percolation1
Gradient boosting for extreme quantile regression1
Weighted weak convergence of the sequential tail empirical process for heteroscedastic time series with an application to extreme value index estimation1
The asymptotic distribution of the condition number for random circulant matrices1
Statistical inference on the local dependence condition of extreme values in a stationary sequence1
Inference for bivariate extremes via a semi-parametric angular-radial model1
Neural classification of asymptotic (in)dependence1
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes1
Extremal properties of max-autoregressive moving average processes for modelling extreme river flows1
Simple random forest classification algorithms for predicting occurrences and sizes of wildfires1
Palm theory for extremes of stationary regularly varying time series and random fields1
Limit theorems for branching processes with immigration in a random environment1
Editorial: EVA (2023) conference data challenge1
Improved interexceedance-times-based estimator of the extremal index using truncated distribution1
Gradient boosting with extreme-value theory for wildfire prediction1
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