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Publications associées (9)
Extremal behaviour of aggregated data with an application to downscaling
Sebastian Engelke, Raphaël Gérard Théodore Michel Marie de Deloÿe et Fourcade de Fondeville
The distribution of spatially aggregated data from a stochastic process may exhibit tail behaviour different from that of its marginal distributions. For a large class of aggregating functionals we introduce the -extremal coefficient, which quantifies this ...
OXFORD UNIV PRESS2019Modelling landscape evolution at the flume scale
David Andrew Barry, Andrea Rinaldo, Mohsen Cheraghi
The ability of a large-scale Landscape Evolution Model (LEM) to simulate the soil surface morphological evolution as observed in a laboratory flume (1-m × 2-m surface area) was investigated. The soil surface was initially smooth, and was subjected to heter ...
2017Extremal attractors of Liouville copulas
Liouville copulas introduced in McNeil and Ne lehova (2010) are asymmetric generalizations of the ubiquitous Archimedean copula class. They are the dependence structures of scale mixtures of Dirichlet distributions, also called Liouville distributions. In ...
2017From pointwise testing to a regional vision: An integrated statistical approach to detect nonstationarity in extreme daily rainfall. Application to the Sahelian region
Global warming is expected to intensify the hydrologic cycle. Documenting whether significant changes in the extreme precipitation regimes have already happened is consequently one of the challenging topics in climatic research. The high natural variabilit ...
Wiley-Blackwell2013Statistical analysis of the current-sharing temperature evolution in Nb3Sn cable-in-conduit-conductors for ITER
Pierluigi Bruzzone, Davide Uglietti, Boris Stepanov, Rainer Wesche
During the test of ITER conductors at nominal conditions, a degradation of the current sharing temperature has been observed after electromagnetic cyclic loading. Rather than focusing on the microscopic phenomena at the origin of the degradation, the degra ...
IEEE-Inst Electrical Electronics Engineers Inc2012Normalization of network generalized extreme value models
Abstract Generalized extreme value (GEV) models provide a convenient way to model choice behavior that is consistent with utility maximization theory, but the development of specific new models within the GEV family has been slow, due to the difficulty of ...
2008