In extreme value statistics, the extreme value index is a well-known parameter to measure the tail heaviness of a distribution. This talk concentrates on Pareto-type distributions, with strictly positive extreme value index (or tail index). The most prominent extreme value methods are constructed on efficient maximum likelihood estimators based on specific parametric models whic
Extreme Value Theory is increasingly used in the modelling of financial time series. The non-normali...
We introduce a robust and asymptotically unbiased estimator for the tail index of Pareto-type distri...
In this work we discuss tail index estimation for heavy-tailed distributions with an emphasis on rob...
In extreme value statistics, the extreme value index is a well-known parameter to measure the tail h...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
The aim of this paper is to give a formal definition and consistent estimates of the extremes of a p...
In extreme value theory the focus is on the tails of the distribution. The main focus is to estimate...
In this paper, we introduce a new robust estimator for the extreme value index of Pareto-type distri...
The extreme value theory is becoming very popular in several applied sciences including finance, eco...
Estimation of the Pareto tail index from extreme order statistics is an important problem in many se...
In extreme value statistics, the tail index is an important measure to gauge the heavy-tailed behavi...
One of the major interests in extreme-value statistics is to infer the tail properties of the distri...
Most extreme events in real life can be faithfully modeled as random realizations from a Generalized...
A large part of the theory of extreme value index estimation is developed for positive extreme value...
International audienceThe estimation of extreme quantiles requires adapted methods to extrapolate be...
Extreme Value Theory is increasingly used in the modelling of financial time series. The non-normali...
We introduce a robust and asymptotically unbiased estimator for the tail index of Pareto-type distri...
In this work we discuss tail index estimation for heavy-tailed distributions with an emphasis on rob...
In extreme value statistics, the extreme value index is a well-known parameter to measure the tail h...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
The aim of this paper is to give a formal definition and consistent estimates of the extremes of a p...
In extreme value theory the focus is on the tails of the distribution. The main focus is to estimate...
In this paper, we introduce a new robust estimator for the extreme value index of Pareto-type distri...
The extreme value theory is becoming very popular in several applied sciences including finance, eco...
Estimation of the Pareto tail index from extreme order statistics is an important problem in many se...
In extreme value statistics, the tail index is an important measure to gauge the heavy-tailed behavi...
One of the major interests in extreme-value statistics is to infer the tail properties of the distri...
Most extreme events in real life can be faithfully modeled as random realizations from a Generalized...
A large part of the theory of extreme value index estimation is developed for positive extreme value...
International audienceThe estimation of extreme quantiles requires adapted methods to extrapolate be...
Extreme Value Theory is increasingly used in the modelling of financial time series. The non-normali...
We introduce a robust and asymptotically unbiased estimator for the tail index of Pareto-type distri...
In this work we discuss tail index estimation for heavy-tailed distributions with an emphasis on rob...