Week 4: Extremes, Copulas and Actuarial Science
February 22 – 26, 2016
This week will be devoted to the following three themes: Extremes, Copulas and Actuarial Science, and to the interactions between them.
The first two themes will be highlighted in both their theoretical developments (multivariate modeling, dependence, estimation and tests on copulas) and their applications, especially in relation to the third theme: the actuarial science. The week will be divided into theoretical and practical lectures and mini courses on these three themes. |
Scientific Committee
Anne-Laure Fougères (Université Claude Bernard Lyon 1) Organizing Committee Mohamed Boutahar (Aix-Marseille Université) Speakers
Challenges in Reinsurance Modelling
Fractional Poisson process: long-range dependence and applications in ruin theory
Inference pour des modèles semi paramétriques définis par des conditions sur leurs L-moments
Weak convergence of the empirical copula process with respect to weighted metrics
Extreme-Value Copulae and Applications
On tail dependence coefficients of transformed multivariate Archimedean copulas
Full lilelihood inference for multivariate max-stable distributions
Parameter Estimation for Mixed-type Distributions with Application to Destruction Rate Modeling in Insurance
Kernel estimation of extreme risk measures for all domains
Fast Change of time Detection on Proportional Two Populations Hazard Rates
Single-index copulae
Estimation of tail risk based on extreme expectiles
Orthogonal polynomials expansions and lognormal sum densities
Estimation of the marginal expected shortfall
Applications of the multivariate tail process for extremal inference
Extremes on directed acyclic graphs
Testing for changes in series of block maxima
Ruin problems for processes in a changing environment
Discrete Schur-constant models
Nonparametric copula estimation under censoring
Behavioural risk: correlation and contagion effects
A measure of dependence for stable distributions
Copulas for Discrete or Mixed Data and Applications
Probabilities of concurrent extremes
A characterization of the asymptotic cluster size distribution for a
Marginal standardization of upper-semicontinuous processes, with applications to max-stable processes
Exogenous shock models in high dimensions
Extremes in time serie
Extreme versions of Wang risk measures and their estimation
Tail index estimation, concentration and adaptivity
Spatial dependence issues for extremes
Model points and Tail-VaR in life insurance |