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 2022-08-01 to 2026-08-01.)
ArticleCitations
On approximating dependence function and its derivatives103
Tail adversarial stability for regularly varying linear processes and their extensions40
Asymptotic theory for estimation of the Hüsler-Reiss distribution via block maxima method19
Extreme conformal prediction: Reliable intervals for high-impact events19
Exchangeable min-id sequences: Characterization, exponent measures and non-decreasing id-processes18
Modern extreme value statistics for Utopian extremes. EVA (2023) Conference Data Challenge: Team Yalla16
Non-stationary max-stable models with an application to heavy rainfall data14
Probability of entering an orthant by correlated fractional Brownian motion with drift: exact asymptotics12
MOPED: A moving sum method for change point detection in pairwise extremal dependence12
Weak signals and heavy tails: learning theory meets extreme value analysis9
Leadbetter-type conditions for bounding the Hausdorff metric of compactly supported stationary sequences9
Analysis of wildfires and their extremes via spatial quantile autoregressive model7
Conditional extreme value estimation for dependent time series7
Regional pooling in extreme event attribution studies: an approach based on multiple statistical testing6
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
Cross-validation on extreme regions6
Large nearest neighbour balls in hyperbolic stochastic geometry6
On the tails of Pitman–Yor random probability measures: Transport maps and stick-breaking constructions6
Running minimum in the best-choice problem5
Causality in extremes of time series4
Max-semistable extreme value laws for autoregressive processes with Cantor-like marginals4
Extreme value methods for estimating rare events in Utopia3
Generative machine learning for multivariate angular simulation3
Tail dependence coefficients of moving average processes driven by exponential-tailed Lévy noise3
Simple sufficient criteria for second-order extended regular variation in the Gumbel domain of attraction: The case of Weibull-tailed distributions3
Random networks with heterogeneous reciprocity3
Lévy Langevin Monte Carlo for sampling from heavy-tailed target distributions3
Poisson approximation of large-lifetime cycles3
Accurate estimates of ultimate 100-meter records3
Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function3
Extreme positions of regularly varying branching random walk in a random and time-inhomogeneous environment3
Publisher Correction: Integral Functionals and the Bootstrap for the Tail Empirical Process3
Which distributions in the max-domain of attraction satisfy von Mises representation or variation representation for a given auxiliary function?2
Extreme value statistics for analysing simulated environmental extremes2
Bridging heavy tails and artificial intelligence2
Curse of scale-freeness: Intractability of large-scale optimization with multi-start methods2
A modeler’s guide to extreme value software2
Generalized Rényi statistics2
Tail-dependence, exceedance sets, and metric embeddings2
Multivariate peaks-over-threshold with latent variable representations of generalized Pareto vectors2
A Kolmogorov–Arnold Neural Model for Cascading Extremes2
Extremal properties of max-autoregressive moving average processes for modelling extreme river flows1
Gradient boosting for extreme quantile regression1
Editorial: EVA (2023) conference data challenge1
The longest edge in discrete and continuous long-range percolation1
On the asymptotics of extremal $$\ell ^p-$$blocks cluster inference1
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes1
Gradient boosting with extreme-value theory for wildfire prediction1
Simple random forest classification algorithms for predicting occurrences and sizes of wildfires1
Stochastic ordering in multivariate extremes1
Modeling extremal dependence in multivariate and spatial problems: a practical perspective1
Neural classification of asymptotic (in)dependence1
Weighted weak convergence of the sequential tail empirical process for heteroscedastic time series with an application to extreme value index estimation1
Extremes for stationary regularly varying random fields over arbitrary index sets1
Palm theory for extremes of stationary regularly varying time series and random fields1
Inference for bivariate extremes via a semi-parametric angular-radial model1
Estimation of marginal excess moments for Weibull-type distributions1
Structured linear factor models for tail dependence1
Statistical inference on the local dependence condition of extreme values in a stationary sequence1
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