BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250707T084545EDT-1863IVZM7W@132.216.98.100 DTSTAMP:20250707T124545Z DESCRIPTION:Title: Asymptotic behavior of data driven empirical measures fo r testing multivariate regular variation\n\nAbstract:\n\nNowadays\, empiri cal processes are well known objects. A reason that push forward theirs st udies is that\, in many models\, we can write the estimators as images of empirical measures. In this work\, the interest is touched upon the case o f local empirical measures built over a sub-sample of data conditioned to be in a certain area\, itself depending on the data. In the present work w e present a general framework which allows to derive asymptotic results fo r these empirical measures. This approach is specified for the framework o f extreme values theory. As an application\, an asymptotic result allowing to derive a test procedure for Multivariate Regular Variation is detailed .\n\nReferences:\n\n\n Cai\, J.J.\, Einmahl\, J.H.J.\, & De Haan\, L. (2011 ). Estimation of extreme risk regions under multivariate regular variation . Ann. Stat.\, 39(3)\, 1803–1826.\n Drees\, H.\, De Haan\, L.\, & Li\, D. ( 2006). Approximations to the tail empirical distribution function with app lication to testing extreme value conditions. J. Statist. Plann. Inference \, 136(10)\, 3498–3538.\n\n\nSpeaker\n\nAfter completing his studies in ge neral mathematics at the University of Franche-Comté in Besançon\, Benjami n Bobbia pursued a PhD in extreme value theory and empirical processes\, w hich he defended in 2020\, under the supervision of Clément Dombry and Dav it Varron. This PhD was followed by a 6 months postdoctoral position at th e University of Cergy-Pontoise\, after which he worked as an assistant pro fessor at the École Supérieure d’Ingénieurs Léonard de Vinci for two years \, until 2023. Since then\, Benjamin Bobbia has held the position of assoc iate professor at ISAE-SUPAERO in Toulouse. His current research interests include statistical learning\, active and transfer learning\, as well as extreme value theory.\n DTSTART:20241122T203000Z DTEND:20241122T213000Z LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue Sherbrooke Ouest SUMMARY:Benjamin Bobbia (ISAE-SUPAERO) URL:/mathstat/channels/event/benjamin-bobbia-isae-supa ero-361293 END:VEVENT END:VCALENDAR