DOI10.1093/biomet/83.1.169zbMath0865.62040OpenAlexW2058959119MaRDI QIDQ3837347
Jonathan A. Tawn, Anthony Ledford
Publication date: 2 March 1997
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/9db7257f672890d9857cd3d69331a8a97c504d38
The Extremal Dependence Measure and Asymptotic Independence,
A Euclidean Likelihood Estimator for Bivariate Tail Dependence,
Censored pairwise likelihood-based tests for mixing coefficient of spatial max-mixture models,
Tail Behavior of Randomly Weighted Sums,
Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude,
Modeling spatial extremes using normal mean-variance mixtures,
LOWER TAIL INDEPENDENCE OF HITTING TIMES OF TWO-DIMENSIONAL DIFFUSIONS,
Linking representations for multivariate extremes via a limit set,
A robust test for asymptotic independence of bivariate extremes,
Estimating the probability of simultaneous rainfall extremes within a region: a spatial approach,
PATHS AND INDICES OF MAXIMAL TAIL DEPENDENCE,
Multiple risk factor dependence structures: copulas and related properties,
Quantile correlation coefficient: a new tail dependence measure,
Asymmetric tail dependence modeling, with application to cryptocurrency market data,
Spatial risk measures for max-stable and max-mixture processes,
A new random field on lattices,
Geostatistics of extremes,
Risk analysis of cumulative intraday return curves,
Multivariate regular variation on cones: application to extreme values, hidden regular variation and conditioned limit laws,
On the study of extremes with dependent random right-censoring,
Fitting spatial max-mixture processes with unknown extremal dependence class: an exploratory analysis tool,
Quotient correlation: a sample based alternative to Pearson's correlation,
Inference for Archimax copulas,
Conex-connect: learning patterns in extremal brain connectivity from multichannel EEG data,
Extremal characteristics of conditional models,
Models for Extremal Dependence Derived from Skew-symmetric Families,
A new representation for multivariate tail probabilities,
On tail dependence: a characterization for first-order max-autoregressive processes,
Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes,
Asset allocation when guarding against catastrophic losses: a comparison between the structure variable and joint probability methods,
Expansions and penultimate distributions of maxima of bivariate normal random vectors,
Self-consistent estimation of conditional multivariate extreme value distributions,
Modeling multiple risks: hidden domain of attraction,
Tail-weighted measures of dependence,
Estimation of the coefficient of tail dependence in bivariate extremes,
Estimating the probability of a rare event,
Limit laws for random vectors with an extreme component,
Extreme residual dependence for random vectors and processes,
A New Class of Models for Bivariate Joint Tails,
MULTIVARIATE TAIL ESTIMATION WITH APPLICATION TO ANALYSIS OF COVAR,
ASYMPTOTICS FOR SYSTEMIC RISK WITH DEPENDENT HEAVY-TAILED LOSSES,
Tail-weighted dependence measures with limit being the tail dependence coefficient,
Stationary distributions for two-dimensional sticky Brownian motions: exact tail asymptotics and extreme value distributions,
Tail dependence functions of the bivariate Hüsler-Reiss model,
An Alternative Point Process Framework for Modeling Multivariate Extreme Values,
Asymptotically Unbiased Estimation of the Coefficient of Tail Dependence,
Multivariate extreme value theory -- a tutorial,
Living on the Multidimensional Edge: Seeking Hidden Risks Using Regular Variation,
Relations Between Hidden Regular Variation and the Tail Order of Copulas,
On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators,
Asymptotic independence for unimodal densities,
Measuring the extremal dependence,
Continuous spatial process models for spatial extreme values,
Modelling dependence uncertainty in the extremes of Markov chain,
Characterizations and examples of hidden regular variation,
Dependence estimation and visualization in multivariate extremes with applications to financial data,
Regular score tests of independence in multivariate extreme values,
On the estimation and application of max-stable processes,
Semi-parametric modeling of excesses above high multivariate thresholds with censored data,
Tail and dependence behavior of levels that persist for a fixed period of time,
EXTREMAL DEPENDENCE: INTERNET TRAFFIC APPLICATIONS,
Simulation of multivariate extreme values,
Tails of correlation mixtures of elliptical copulas,
Testing for tail independence in extreme value models,
Parametric and non-parametric estimation of extreme earthquake event: the joint tail inference for mainshocks and aftershocks,
Basin-wide spatial conditional extremes for severe ocean storms,
Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes,
Parametric models for distributions when interest is in extremes with an application to daily temperature,
Bayesian inference with \(M\)-splines on spectral measure of bivariate extremes,
A geometric investigation into the tail dependence of vine copulas,
Joint tail of ECOMOR and LCR reinsurance treaties,
Regular Variation and Extremal Dependence of GARCH Residuals with Application to Market Risk Measures,
HIGH-DIMENSIONAL PARAMETRIC MODELLING OF MULTIVARIATE EXTREME EVENTS,
Unnamed Item,
Empirical estimation of tail dependence using copulas: application to Asian markets,
Tail Dependence Under Sample Failures,
CAN A REGIONAL CLIMATE MODEL REPRODUCE OBSERVED EXTREME TEMPERATURES,
Rank-based estimation under asymptotic dependence and independence, with applications to spatial extremes,
The distribution of unobserved heterogeneity in competing risks models,
Bayesian Model Averaging Over Tree-based Dependence Structures for Multivariate Extremes,
Identifying groups of variables with the potential of being large simultaneously,
Modeling Spatial Processes with Unknown Extremal Dependence Class,
Exceedance-based nonlinear regression of tail dependence,
Extremal dependence measure for functional data,
On the tail behaviour of aggregated random variables,
Hidden Regular Variation and Detection of Hidden Risks,
Why scoring functions cannot assess tail properties,
Estimating the tail-dependence coefficient: properties and pitfalls,
Samples with a limit shape, multivariate extremes, and risk,
The spectrogram: a threshold-based inferential tool for extremes of stochastic processes,
Sparse regular variation,
Bias correction in multivariate extremes,
Multivariate Extreme Value Theory And Its Usefulness In Understanding Risk,
Modeling spatial tail dependence with Cauchy convolution processes,
Extremes of scale mixtures of multivariate time series,
A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes,
Conditional quantiles and tail dependence,
Unnamed Item,
Tail correlation functions of max-stable processes,
Four theorems and a financial crisis,
Operator tail dependence of copulas,
A stochastic volatility model with flexible extremal dependence structure,
Maximum empirical likelihood estimation of the spectral measure of an extreme-value distribu\-tion,
Extreme value analysis of actuarial risks: estimation and model validation,
Tail dependence measure for examining financial extreme co-movements,
Extreme value modelling of water-related insurance claims,
Tail dependence of the Gaussian copula revisited,
An extreme value analysis of the last century crises across industries in the U.S. economy,
Approximation and estimation of very small probabilities of multivariate extreme events,
Asymmetry in tail dependence in equity portfolios,
Extremes of \(q\)-Ornstein-Uhlenbeck processes,
Inference for asymptotically independent samples of extremes,
Foreign-currency interest-rate swaps in asset-liability management for insurers,
An analysis of a heuristic procedure to evaluate tail (in)dependence,
Tail relation between return and volume in the US stock market: an analysis based on extreme value theory,
Limiting distributions of maxima under triangular schemes,
Implicit extremes and implicit max-stable laws,
Extremal memory of stochastic volatility with an application to tail shape inference,
Software for the analysis of extreme events: The current state and future directions,
Multivariate generalized Pareto distributions,
Extremes of multivariate ARMAX processes,
On a bivariate copula with both upper and lower full-range tail dependence,
Estimating a bivariate tail: a copula based approach,
A note on tail dependence regression,
Extreme dependence models based on event magnitude,
Geometric interpretation of the residual dependence coefficient,
Strength of tail dependence based on conditional tail expectation,
Extremal behavior of pMAX processes,
Randomly weighted sums of dependent random variables with dominated variation,
Smoothed jackknife empirical likelihood method for tail copulas,
Estimation of spatial max-stable models using threshold exceedances,
On extremal dependence: some contributions,
Sparse moving maxima models for tail dependence in multivariate financial time series,
Bias-corrected and robust estimation of the bivariate stable tail dependence function,
Fragility index of block tailed vectors,
Tail asymptotics for the bivariate skew normal,
On the worst and least possible asymptotic dependence,
Efficient maximum likelihood estimation of copula based meta \(t\)-distributions,
Accounting for uncertainty in extremal dependence modeling using Bayesian model averaging techniques,
On the tail dependence in bivariate hydrological frequency analysis,
Influence measures and robust estimators of dependence in multivariate extremes,
The weak tail dependence coefficient of the elliptical generalized hyperbolic distribution,
On the regular variation of ratios of jointly Fréchet random variables,
Extremal dependence measure and extremogram: the regularly varying case,
Tail order and intermediate tail dependence of multivariate copulas,
Second order tail asymptotics for the sum of dependent, tail-independent regularly varying risks,
A software review for extreme value analysis,
Efficient simulation for dependent rare events with applications to extremes,
A test when the Fisher information may be infinite, exemplified by a test for marginal independence in extreme value distributions,
Conditioning on an extreme component: model consistency with regular variation on cones,
An asymptotic characterization of hidden tail credit risk with actuarial applications,
Estimation of extreme values by the average conditional exceedance rate method,
Tail dependence for regularly varying time series,
Detecting a conditional extreme value model,
Regularly varying measures on metric spaces: hidden regular variation and hidden jumps,
Vector generalized linear and additive extreme value models,
Asymptotically (in)dependent multivariate maxima of moving maxima process,
Parametric tail copula estimation and model testing,
Some notes on multivariate generalized Pareto distributions,
Extremal properties of the multivariate extended skew-normal distribution. Part B,
Portfolio risk assessment using multivariate extreme value methods,
The effect of aggregation on extremes from asymptotically independent light-tailed risks,
Using B-splines for nonparametric inference on bivariate extreme-value copulas,
Nonparametric estimation of the spectral measure, and associated dependence measures, for multivariate extreme values using a limiting conditional representation,
Interval estimation for a measure of tail dependence,
Statistics for tail processes of Markov chains,
Assessing conditional extremal risk of flooding in Puerto Rico,
Geostatistics of dependent and asymptotically independent extremes,
Editorial: Special issue on time series extremes,
Bayesian uncertainty management in temporal dependence of extremes,
Multidimensional extremal dependence coefficients,
Properties of extremal dependence models built on bivariate MAX-linearity,
Jump tails, extreme dependencies, and the distribution of stock returns,
An M-estimator for tail dependence in arbitrary dimensions,
Estimation and uncertainty quantification for extreme quantile regions,
Testing the independence of maxima: from bivariate vectors to spatial extreme fields: asymptotic independence of extremes,
Bivariate tail estimation: dependence in asymptotic independence,
Analysis of dependence among size, rate and duration in internet flows,
Multivariate extreme models based on underlying skew-\(t\) and skew-normal distributions,
Extremal attractors of Liouville copulas,
Modeling rare events through a \(p\)RARMAX process,
The pairwise beta distribution: A flexible parametric multivariate model for extremes,
A nonparametric method for producing isolines of bivariate exceedance probabilities,
Bayesian model averaging for multivariate extremes,
A method of moments estimator of tail dependence,
Estimation of bivariate excess probabilities for elliptical models,
Testing the tail-dependence based on the radial component,
It was 30 years ago today when Laurens de Haan went the multivariate way,
Review of testing issues in extremes: in honor of Professor Laurens de Haan,
Conditioned limit laws for inverted max-stable processes,
Testing asymptotic independence in bivariate extremes,
Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market,
Extremal financial risk models and portfolio evaluation,
Expansions of multivariate Pickands densities and testing the tail dependence,
Tails of multivariate Archimedean copulas,
Fourier methods for testing multivariate independence,
Tail dependence between order statistics,
A flexible dependence model for spatial extremes,
Some comments on the estimation of a dependence index in bivariate extreme value statistics.,
Likelihood estimators for multivariate extremes,
On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures,
Multivariate extremes and max-stable processes: discussion of the paper by Zhengjun Zhang,
Rejoinder of “On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures”,
Hierarchical Transformed Scale Mixtures for Flexible Modeling of Spatial Extremes on Datasets With Many Locations,
Joint modelling of the body and tail of bivariate data,
A Space-Time Skew-t Model for Threshold Exceedances,
A modeler's guide to extreme value software,
Tail adversarial stability for regularly varying linear processes and their extensions,
Measuring non-exchangeable tail dependence using tail copulas,
Extremes of Markov random fields on block graphs: max-stable limits and structured Hüsler-Reiss distributions,
Modeling the spatial behavior of the meteorological drivers' effects on extreme ozone,
Asymptotics of sum of heavy-tailed risks with copulas,
Unnamed Item,
Hidden regular variation and the rank transform,
A Mixture Model for Multivariate Extremes,
Extreme dependence of multivariate catastrophic losses,
Examples for the coefficient of tail dependence and the domain of attraction of a bivariate extreme value distribution,
Extreme Shape Analysis,
Statistical modeling of spatial extremes,
Polynomial Pickands functions,
Tails of weakly dependent random vectors,
Projection estimators of Pickands dependence functions,
Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes,
Where does the tail begin? An approach based on scoring rules,
Asymptotic dependence of bivariate maxima