Estimation of multivariate tail quantities
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Publication:6115547
DOI10.1016/j.csda.2023.107761OpenAlexW4366144453MaRDI QIDQ6115547
Publication date: 13 July 2023
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2023.107761
Cites Work
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- Multivariate nonparametric estimation of the Pickands dependence function using Bernstein polynomials
- Estimation and uncertainty quantification for extreme quantile regions
- Factor copula models for multivariate data
- Tail order and intermediate tail dependence of multivariate copulas
- Estimation of extreme risk regions under multivariate regular variation
- An M-estimator for tail dependence in arbitrary dimensions
- Extended generalised Pareto models for tail estimation
- Construction of asymmetric multivariate copulas
- Tail dependence functions and vine copulas
- Large quantile estimation in a multivariate setting
- Nonparametric estimation of multivariate tail probabilities and tail dependence coefficients
- Dependence properties and Bayesian inference for asymmetric multivariate copulas
- Generalized Pareto copulas: a key to multivariate extremes
- Nonparametric estimation of general multivariate tail dependence and applications to financial time series
- Dependence Modeling with Copulas
- Non-parametric Estimation of Tail Dependence
- Nonlinear Regression on Cross-Section Data
- The multivariate skew-normal distribution
- Tail-weighted dependence measures with limit being the tail dependence coefficient
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- Estimation of Extreme Depth-Based Quantile Regions
- Maximum Likelihood Estimation of Misspecified Models
- An introduction to statistical modeling of extreme values
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