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- Arthur Charpentier, Johan Segers
- J. Multivariate Analysis
- 2009

A complete and user-friendly directory of tails of Archimedean copulas is presented which can be used in the selection and construction of appropriate models with desired properties. The results are synthesized in the form of a decision tree: Given the values of some readily computable characteristics of the Archimedean generator, the upper and lower tails… (More)

Convergence of a sequence of bivariate Archimedean copulas to another Archimedean copula or to the comonotone copula is shown to be equivalent with convergence of the corresponding sequence of Kendall distribution functions. No extra differentiability conditions on the generators are needed.

Copula modelling has become ubiquitous in modern statistics. Here, the problem of nonparametrically estimating a copula density is addressed. Arguably the most popular nonparametric density estimator, the kernel estimator is not suitable for the unit-square-supported copula densities, mainly because it is heavily a↵ected by boundary bias issues. In… (More)

- A Charpentier, P Menozzi, V Marcel, F Villatte, D Fournier
- Analytical biochemistry
- 2000

Acetylcholinesterase is the primary target of organophosphorous and carbamate insecticides. Quantitative changes in acetylcholinesterase are suspected to confer resistance to these insecticides, but a method to estimate the amount in insect is not available. A method using irreversible inhibitors has been developed. Among the irreversible inhibitors tested,… (More)

The IPCC 2007 report noted that both the frequency and strength of hurricanes, floods and droughts have increased during the past few years. Thus, climate risk, and more specifically natural catastrophes, are now hardly insurable: losses can be huge (and the actuarial pure premium might even be infinite), diversification through the central limit theorem is… (More)

- Arthur Charpentier, Abder Oulidi
- Statistics and Computing
- 2010

- Arthur Charpentier
- Kybernetika
- 2008

This paper proposes a general framework to compare the strength of the dependence in survival models, as time changes, i. e. given remaining lifetimes X , to compare the dependence of X given X > t, and X given X > s, where s > t. More precisely, analytical results will be obtained in the case the survival copula of X is either Archimedean or a distorted… (More)

- Arthur CHARPENTIER, Benoît LE MAUX, DEPARTEMENT D'ECONOMIE
- 2010

The present research relaxes three of the usual assumptions made in the insurance literature. It is assumed that (1) there is a finite number of risks, (2) the risks are not statistically independent and (3) the structure of the market is monopolistic. In this context, the article analyses two models of natural catastrophe insurance: a model of insurance… (More)