On tail index estimation based on multivariate data (original) (raw)

Estimation of the tail-index in a conditional location-scale family of heavy-tailed distributions

Aliou DIOP

Dependence Modeling, 2019

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Rank-based estimation under asymptotic dependence and independence, with applications to spatial extremes

Michaël Lalancette

The Annals of Statistics, 2021

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Once more on comparison of tail index estimators

Vygantas Paulauskas

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Bias-corrected geometric-type estimators of the tail index

Laura Cavalcante

Journal of Physics A: Mathematical and Theoretical

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Estimating Pareto Tail Index Based on Sample Means

J. Picek

2004

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A New Regression-Based Tail Index Estimator

Paulo Rodrigues

The Review of Economics and Statistics, 2018

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Tail index estimation for heavy tails: accommodation of bias in the excesses over a high threshold

Ligia Rodrigues

Extremes, 2008

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Estimation of the Tail Index of Pareto-Type Distributions Using Regularisation

Richard Minkah

Journal of Mathematics

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An M-estimator for tail dependence in arbitrary dimensions

Johan Segers

The Annals of Statistics, 2012

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Bias reduction and explicit semi-parametric estimation of the tail index

Ivette Gomes

Journal of Statistical Planning and Inference, 2004

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Multivariate Tail Estimation: Conditioning on an extreme event

Zhigang Tong

2015

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Several new tail index estimators

Vygantas Paulauskas

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Estimating the Second-Order Parameter of Regular Variation and Bias Reduction in Tail Index Estimation Under Random Truncation

Brahim Brahimi

Journal of Statistical Theory and Practice, 2018

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Tail product-limit process for truncated data with application to extreme value index estimation

Djamel Meraghni, Souad Benchaira

Extremes, 2016

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Finite sample tail behavior of multivariate location estimators

Yijun Zuo

Journal of Multivariate Analysis, 2003

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A New Estimator for a Tail Index

Vygantas Paulauskas

2003

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Regression estimators for the tail index

Laszlo Stacho

Acta Scientiarum Mathematicarum, 2021

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Reduced-Bias Tail Index Estimators Under a Third-Order Framework

Ivette Gomes

Communications in Statistics - Theory and Methods, 2009

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A class of asymptotically unbiased semi-parametric estimators of the tail index

Frederico Caeiro

Test, 2002

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A test for comparing tail indices for heavy tailed distributions via empirical likelihood

Julien Worms

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A Class of Semiparametric Tail Index Estimators and Its Applications

Natalia Markovich

Automation and Remote Control, 2019

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Value-at-Risk and least squares tail index estimation

Rob van Den Goorbergh

1999

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Regression Estimator for the Tail Index

András Zempléni

Journal of Statistical Theory and Practice

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On Estimation and Testing for Pareto Tails

Pavlina Jordanova

2013

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Semi-parametric estimation for heavy tailed distributions

Cecile Mercadier

Extremes, 2010

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Asymptotic Expansions of Estimators for the Tail Index with Applications

Jiazhu Pan

Scandinavian Journal of Statistics, 1998

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Tail inference using extreme U-statistics

Jochem Oorschot

2022

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A moving window approach for nonparametric estimation of the conditional tail index

Alexandre Lekina, Stéphane Girard

Journal of Multivariate Analysis, 2008

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Linking Pareto-Tail Kernel Goodness-Offit Statistics with Tail Index at Optimal Threshold and Second Order Estimation

Tertius de Wet

DOAJ (DOAJ: Directory of Open Access Journals), 2008

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Multivariate Moment Based Extreme Value Index Estimators

Pauliina Ilmonen

SSRN Electronic Journal, 2015

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Estimation of Tails and Related Quantities Using the Number of Near-Extremes

Jürg Hüsler

Communications in Statistics - Theory and Methods, 2005

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Kernel goodness-of-fit statistics for Pareto-type behavior and threshold selection for tail index estimation

Tertius de Wet

2008

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A method of moments estimator of tail dependence

Antonin Krajina

Bernoulli, 2008

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On the asymptotic normality of Hill's estimator of the tail index under random censoring

Djamel Meraghni

arXiv (Cornell University), 2013

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On the comparison of several classical estimators of the extreme value index

Ivette Gomes

Communications in Statistics - Theory and Methods, 2020

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