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Statistical analysis of heavy rainfall in France via multivariate extreme value theory

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Authors : Naveau, Philippe (Author of the conference)
CIRM (Publisher )

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Abstract : Analysing heavy rainfall in France is complex due to the high number of weather stations and the complexity of weather system patterns over the French territory. This leads to computational issues and classical Extreme Value Theory (ETV) cannot be directly applied. To bypass the computational hurdles, we perform a dimension reduction approach, based on EVT concepts, to create independent regional clusters. Within each cluster, we propose a nonparametric approach for estimating the maxima dependence function.
This is a joint work with S. A. Padoan, G. Marcon, E. Bernard, M. Vrac, O. Mestre.

MSC Codes :

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 22/08/14
    Conference Date : 17/07/14
    Subseries : Research talks
    arXiv category : Statistics Theory
    Mathematical Area(s) : Probability & Statistics ; Mathematics in Science & Technology
    Format : MP4 (.mp4) - HD
    Video Time : 00:48:30
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2014-07-17_Naveau.mp4

Information on the Event

Event Title : Extreme value theory and laws of rare events / Théorie des valeurs extrêmes et lois des évènements rares
Event Organizers : Freitas, Ana Cristina ; Freitas, Jorge ; Todd, Michael J. ; Vaienti, Sandro
Dates : 14/07/14 - 18/07/14
Event Year : 2014
Event URL : http://www.mcs.st-and.ac.uk/~miket/CIRM_...

Citation Data

DOI : 10.24350/CIRM.V.18578603
Cite this video as: Naveau, Philippe (2014). Statistical analysis of heavy rainfall in France via multivariate extreme value theory. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.18578603
URI : http://dx.doi.org/10.24350/CIRM.V.18578603

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