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Basin-wide spatial conditional extremes for severe ocean storms
Physical considerations and previous studies suggest that extremal dependence between ocean storm severity at two locations exhibits near asymptotic...
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Ordinal patterns in clusters of subsequent extremes of regularly varying time series
In this paper, we investigate temporal clusters of extremes defined as subsequent exceedances of high thresholds in a stationary time series. Two...
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Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations
An intensity–duration–frequency (IDF) curve describes the relationship between rainfall intensity and duration for a given return period and...
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Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes
Saudi Arabia has been seeking to reduce its dependence on oil by diversifying its energy portfolio, including the largely underused energy potential...
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An Analysis of Extremes: Semiparametric Efficiency in Regression
Let Y denote a response variable and X denote a covariate. We consider statistical inferences in semiparametric regression models, where the...
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Threshold selection and trimming in extremes
We consider removing lower order statistics from the classical Hill estimator in extreme value statistics, and compensating for it by rescaling the...
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Parametric models for distributions when interest is in extremes with an application to daily temperature
When making inferences about extreme quantiles, using simple parametric models for the entire distribution can be problematic in that a model that...
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Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes
Large, non-stationary spatio-temporal data are ubiquitous in modern statistical applications, and the modeling of spatio-temporal extremes is crucial...
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A modeler’s guide to extreme value software
This review paper surveys recent development in software implementations for extreme value analyses since the publication of Stephenson and Gilleland...
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Trend detection for heteroscedastic extremes
There are some suggestions that extreme weather events are becoming more frequent due to global warming. From a statistical point of view, this...
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Extremes of subexponential Lévy-driven random fields in the Gumbel domain of attraction
We consider a spatial Lévy-driven moving average with an underlying Lévy measure having a subexponential right tail, which is also in the maximum...
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Leveraging Extremal Dependence to Better Characterize the 2021 Pacific Northwest Heatwave
In late June, 2021, a devastating heatwave affected the US Pacific Northwest and western Canada, breaking numerous all-time temperature records by...
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Explicit Agreement Extremes for a 2 × 2 Table with Given Marginals
The problem of maximizing (or minimizing) the agreement between clusterings, subject to given marginals, can be formally posed under a common...
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On connections between skewed, weighted and distorted distributions: applications to model extreme value distributions
The purpose of the paper is to explore the connections between skew symmetric, weighted and distorted univariate distributions as well as how they...
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Extremal characteristics of conditional models
Conditionally specified models are often used to describe complex multivariate data. Such models assume implicit structures on the extremes. So far,...
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Extremes of stationary random fields on a lattice
Extremal behavior of stationary Gaussian sequences/random fields is widely investigated since it models common cluster phenomena and brings a bridge...
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Robust and Multivariate Statistical Methods Festschrift in Honor of David E. Tyler
This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it...
