Since several students got the intuition that natural catastrophes might be non-insurable (underlying distributions with infinite mean), I will post some comments on testing procedures for extreme value models. A natural idea is to use a likelihood ratio test (for composite hypotheses). Let denote the parameter (of our parametric model, e.g. the tail index), and we would like to know whether is smaller or larger than (where in the context of finite versus infinite mean ). I.e. either belo..
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...
In some data sets, it may be the case that a portion of the extreme observations are missing. This ...
International audienceThe Conditional Tail Expectation is an indicator of tail behaviour that takes ...
The aim of this paper is to give a formal definition and consistent estimates of the extremes of a p...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
Abstract: An extreme value approach to the modeling of rare and damaging events quite frequently inv...
In extreme value statistics, the extreme value index is a well-known parameter to measure the tail h...
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...
: Extreme Value Theory (EVT) originated, in 1928, in the work of Fisher and Tippett describing ...
The paper presents two tests verifying the hypothesis about the shape parameter of the generalized d...
International audienceContrary to the current regulatory trend regarding extreme risks, the purpose ...
We extend classical extreme value theory to non-identically distributed observations. When the tails...
In extreme value statistics, the extreme value index is a well-known parameter to measure the tail h...
This dissertation has 4 chapters, in which we attempt to explore and analyze the structure of extrem...
Most extreme events in real life can be faithfully modeled as random realizations from a Generalized...
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...
In some data sets, it may be the case that a portion of the extreme observations are missing. This ...
International audienceThe Conditional Tail Expectation is an indicator of tail behaviour that takes ...
The aim of this paper is to give a formal definition and consistent estimates of the extremes of a p...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
Abstract: An extreme value approach to the modeling of rare and damaging events quite frequently inv...
In extreme value statistics, the extreme value index is a well-known parameter to measure the tail h...
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...
: Extreme Value Theory (EVT) originated, in 1928, in the work of Fisher and Tippett describing ...
The paper presents two tests verifying the hypothesis about the shape parameter of the generalized d...
International audienceContrary to the current regulatory trend regarding extreme risks, the purpose ...
We extend classical extreme value theory to non-identically distributed observations. When the tails...
In extreme value statistics, the extreme value index is a well-known parameter to measure the tail h...
This dissertation has 4 chapters, in which we attempt to explore and analyze the structure of extrem...
Most extreme events in real life can be faithfully modeled as random realizations from a Generalized...
Heavy tailed phenomena are naturally analyzed by extreme value statistics. A crucial step in such an...
In some data sets, it may be the case that a portion of the extreme observations are missing. This ...
International audienceThe Conditional Tail Expectation is an indicator of tail behaviour that takes ...