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UID:20260602T064142EDT-8201RTS8ZV@132.216.98.100
DTSTAMP:20260602T104142Z
DESCRIPTION:Quantifying spatial flood risks: a comparative study of max-sta
 ble models\n\nIn various applications\, evaluating spatial risks (such as 
 floods\, heatwaves or storms) is a key problem. The aim of this talk is to
  make use of extreme value theory and max-stable processes to provide quan
 titative answers to this issue. A review of the literature will be provide
 d\, as well as a wide comparative study based on a simulation design mimic
 king daily rainfall in France. This is a joint work with Cécile Mercadier 
 (Université Claude-Bernard Lyon 1 (UCBL)) and Quentin Sebille (UCBL).\n
DTSTART:20171013T193000Z
DTEND:20171013T203000Z
LOCATION:Room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Anne-Laure Fougères Professor Institut Camille-Jordan Université Cl
 aude-Bernard Lyon\, France
URL:/mathstat/channels/event/anne-laure-fougeres-profe
 ssor-institut-camille-jordan-universite-claude-bernard-lyon-france-275540
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