International audienceWe introduce a location-scale model for conditional heavy-tailed distributions when the covariate is deterministic. First, nonparametric estimators of the location and scale functions are introduced. Second, an estimator of the conditional extreme-value index is derived. The asymptotic properties of the estimators are established under mild assumptions and their finite sample properties are illustrated both on simulated and real data
It is well known that the tail behavior of a heavy-tailed distribution is controlled by a parameter ...
ADInternational audienceWe consider a nonparametric regression estimator of conditional tails introd...
International audienceWe address the estimation of extreme level curves of heavy-tailed distribution...
International audienceWe introduce a location-scale model for conditional heavy-tailed distributions...
International audienceWe are interested in a location-scale model for heavy-tailed distributions whe...
International audienceWe consider a location-dispersion regression model for heavy-tailed distributi...
International audienceThis paper deals with the estimation of an extreme value index of a heavy-tail...
International audienceFor heavy-tailed distributions, the so-called tail index is an important param...
National audienceThe modeling of extreme events arises in many fields such as finance, insurance or ...
The main goal of this thesis is to propose new estimators of the tail-index as well as the condition...
International audienceThis paper is dedicated to the estimation of extreme quantiles and the tail in...
23International audienceIn this paper, we investigate the estimation of the tail index and extreme q...
Rapport de rechercheInternational audienceWe present a nonparametric family of estimators for the ta...
Nonparametric inference on tail conditional quantiles and their least squares analogs, expectiles, r...
International audienceEstimation of the extreme-value index of a heavy-tailed distribution is addres...
It is well known that the tail behavior of a heavy-tailed distribution is controlled by a parameter ...
ADInternational audienceWe consider a nonparametric regression estimator of conditional tails introd...
International audienceWe address the estimation of extreme level curves of heavy-tailed distribution...
International audienceWe introduce a location-scale model for conditional heavy-tailed distributions...
International audienceWe are interested in a location-scale model for heavy-tailed distributions whe...
International audienceWe consider a location-dispersion regression model for heavy-tailed distributi...
International audienceThis paper deals with the estimation of an extreme value index of a heavy-tail...
International audienceFor heavy-tailed distributions, the so-called tail index is an important param...
National audienceThe modeling of extreme events arises in many fields such as finance, insurance or ...
The main goal of this thesis is to propose new estimators of the tail-index as well as the condition...
International audienceThis paper is dedicated to the estimation of extreme quantiles and the tail in...
23International audienceIn this paper, we investigate the estimation of the tail index and extreme q...
Rapport de rechercheInternational audienceWe present a nonparametric family of estimators for the ta...
Nonparametric inference on tail conditional quantiles and their least squares analogs, expectiles, r...
International audienceEstimation of the extreme-value index of a heavy-tailed distribution is addres...
It is well known that the tail behavior of a heavy-tailed distribution is controlled by a parameter ...
ADInternational audienceWe consider a nonparametric regression estimator of conditional tails introd...
International audienceWe address the estimation of extreme level curves of heavy-tailed distribution...