Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
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Publication:6635940
DOI10.1007/s10687-024-00490-4MaRDI QIDQ6635940
Callum J. R. Murphy-Barltrop, Jennifer L. Wadsworth, Emma F. Eastoe
Publication date: 12 November 2024
Published in: Extremes (Search for Journal in Brave)
Cites Work
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- Bayesian inference for the extremal dependence
- Multivariate nonparametric estimation of the Pickands dependence function using Bernstein polynomials
- Geometric interpretation of the residual dependence coefficient
- 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
- Maximum empirical likelihood estimation of the spectral measure of an extreme-value distribu\-tion
- A simple general approach to inference about the tail of a distribution
- Hidden regular variation, second order regular variation and asymptotic independence
- Distribution and dependence-function estimation for bivariate extreme-value distributions.
- Time-varying extreme value dependence with application to leading European stock markets
- A comparison of dependence function estimators in multivariate extremes
- Estimation of the conditional distribution of a multivariate variable given that one of its components is large: additional constraints for the Heffernan and Tawn model
- Exceedance-based nonlinear regression of tail dependence
- A new representation for multivariate tail probabilities
- Self-consistent estimation of conditional multivariate extreme value distributions
- Bivariate Exponential Distributions
- Regression‐type models for extremal dependence
- A New Class of Models for Bivariate Joint Tails
- Bivariate extreme value theory: Models and estimation
- Statistics for near independence in multivariate extreme values
- Models and inference for uncertainty in extremal dependence
- A Conditional Approach for Multivariate Extreme Values (with Discussion)
- Spectral Density Ratio Models for Multivariate Extremes
- Linking representations for multivariate extremes via a limit set
- Determining the dependence structure of multivariate extremes
- Generalized Additive Models for Exceedances of High Thresholds With an Application to Return Level Estimation for U.S. Wind Gusts
- Modeling Spatial Processes with Unknown Extremal Dependence Class
- Modelling Across Extremal Dependence Classes
- An introduction to statistical modeling of extreme values
- Polynomial Pickands functions
- Estimating the probability of widespread flood events
- New estimation methods for extremal bivariate return curves
- Modelling non-stationarity in asymptotically independent extremes
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