A new class of estimators of the extreme value index is developed. It has a simple form and is asymptotically very close to the maximum likelihood estimator for a wide class of heavy-tailed models. We also propose an alternative class of estimators, dependent on a tuning parameter p ∈ (0,1) and invariant for changes in both scale and/or location. Such a tuning parameter can help us to choose the number of top order statistics to be used in the estimation of extreme parameters
AbstractIn extreme value analysis, staring from Smith (1987) [1], the maximum likelihood procedure i...
The key issue of extreme-value theory is the estimation of a parameter γ, known as extreme value ind...
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...
A new promising extreme value index estimator, the mixed-moment (MM) estimator, has been recently in...
Modeling extreme events is of paramount importance in various areas ofscience — biostatistics, clima...
International audienceAn important parameter in extreme value theory is the extreme value index $\ga...
In this article, we deal with semi-parametric corrected-bias estimation of a positive extreme value ...
Modeling extreme events is of paramount importance in various areas of science—biostatistics, climat...
A large part of the theory of extreme value index estimation is developed for positive extreme value...
International audienceThe extreme-value index is an important parameter in extreme-value theory sinc...
The thesis is composed of three papers, all dealing with the application of extreme value methods to...
One of the main goal of extreme value analysis is to estimate the probability of rare events given a...
International audienceThe extreme-value index is an important parameter in extreme-value theory sinc...
Extreme-value theory and corresponding analysis is an issue extensively applied in many different fi...
Extreme-value theory and corresponding analysis is an issue extensively applied in many different fi...
AbstractIn extreme value analysis, staring from Smith (1987) [1], the maximum likelihood procedure i...
The key issue of extreme-value theory is the estimation of a parameter γ, known as extreme value ind...
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...
A new promising extreme value index estimator, the mixed-moment (MM) estimator, has been recently in...
Modeling extreme events is of paramount importance in various areas ofscience — biostatistics, clima...
International audienceAn important parameter in extreme value theory is the extreme value index $\ga...
In this article, we deal with semi-parametric corrected-bias estimation of a positive extreme value ...
Modeling extreme events is of paramount importance in various areas of science—biostatistics, climat...
A large part of the theory of extreme value index estimation is developed for positive extreme value...
International audienceThe extreme-value index is an important parameter in extreme-value theory sinc...
The thesis is composed of three papers, all dealing with the application of extreme value methods to...
One of the main goal of extreme value analysis is to estimate the probability of rare events given a...
International audienceThe extreme-value index is an important parameter in extreme-value theory sinc...
Extreme-value theory and corresponding analysis is an issue extensively applied in many different fi...
Extreme-value theory and corresponding analysis is an issue extensively applied in many different fi...
AbstractIn extreme value analysis, staring from Smith (1987) [1], the maximum likelihood procedure i...
The key issue of extreme-value theory is the estimation of a parameter γ, known as extreme value ind...
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...