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UID:5958@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20220926T000000
DTEND;TZID=Europe/Paris:20220930T000000
DTSTAMP:20241211T143214Z
URL:https://www.i2m.univ-amu.fr/evenements/machine-learning-in-insurance-s
 ector-targeted-to-risk-analysis-and-losses-mlistral-2022/
SUMMARY:Conference (CIRM\, Luminy\, Marseille): Machine Learning in Insuran
 ce Sector Targeted to Risk Analysis and Losses (MLISTRAL 2022)
DESCRIPTION:Conference: CONFERENCE\n\nOrganizers:\nChristophe Dutang (Unive
 rsité Paris-Dauphine)\nAnne Eyraud-Loisel (Université Lyon 1)\nXavier Mi
 lhaud (Université Lyon 1)\nDenys Pommeret (Aix-Marseille Université)\nMa
 nuela Royer-Carenzi (Aix-Marseille Université)\n“MLISTRAL”\, (M)achin
 e (L)earning in(I)nsurance (S)ector (T)argeted to (R)isk (A)nalysisand (L)
 osses\, is an International Conference that aims to bridge the gap between
  mathematical theory (especially related to statistical learning theory) a
 nd practical applications of Actuarial Sciences in industry.\nThe Conferen
 ce is organized as follows: each day a current hot topic for insurance pra
 ctitioners\, with corresponding prestigious academics implicated in such t
 opics. A specific focus will be given to practical issues that can arise w
 hen implementing (in Python\, R language or else) theoretical solutions to
  operational frameworks. The topics of this conference are voluntarily ver
 y diversified\, as the application of Actuarial Sciences can be inreal lif
 e applications. Theoretical solutions and operational implementations of t
 raditional issues in Asset and Liabilities Management\, Life Insurance\, N
 on-Life Insurance and Reinsurance will be presented. The distinctive struc
 ture of talks\, and in particular the three one-hour plenary sessions ever
 y morning\, should help everyone to have a comprehensive understanding of 
 the presented research results. The rest of the Conference is dedicated to
  shorter talks on one day’s theme. Young researchers have a special oppo
 rtunity to explain their research findings in plenary sessions\, and they 
 are strongly encouraged to attend the Conference and submit papers to be p
 resented.\n&nbsp\;
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 022/02/poster-2022-mlistral-small.jpg
CATEGORIES:Colloque
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DTSTART:20220327T030000
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