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Matthieu Lerasle
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DATA and AI breakfast with Matthieu Lerasle

The glorious uncertainty of sport, or is might makes right? Some fundamental limits.

ENSAE Alumni is pleased to invite you to its next DATA and AI breakfast-debate.
The glorious uncertainty of sport, or is might makes right? Some fundamental limits.
Some sports, such as soccer, have a relatively high degree of randomness: a small team can spring a surprise in one match. But what happens in a championship with a large number of matches? Can a small team come out on top against the odds? Or does a large number of matches necessarily favor the best teams?
Sports fans know that surprises happen, even in season-long championships. But how can we formalize these situations? What kind of predictions can be made? What are the theoretical findings on the subject?
In addition to providing food for thought on the Canal Football Club, this work could be of interest not only to betting professionals, but also to competition organizers and video game designers... and why not consider applications in finance or insurance to model rare events?
For those who would like an overview of the subject, you can preview this article from the CNRS journal, which discusses this work:
An alumnus of the Ecole Normale Supérieure de Cachan, Matthieu Lerasle holds a doctorate in mathematics (INSA Toulouse) and the Habilitation à diriger des recherches.Matthieu Lerasle was a research fellow at CNRS before becoming professor of statistics at ENSAE, and is also a lecturer at Ecole Polytechnique.
His research interests include statistical learning, robust statistics and high-dimensional statistics.

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Wednesday 21st June 2023
08h00 - 10h00 (GMT +2)
Registration deadline : 20th June
Ekimetrics
36 Rue La Fayette
75009 Paris
CALCULATE MY ITINERARY

  • 25 € Graduate members

  • 35 € Non-member graduates
    Outdoor

Registration closed
Location

Ekimetrics

36 Rue La Fayette
75009 Paris

Additional information (parking, underground, etc.)

Peletier and Notre Dame de Lorette metro stations

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See all events
Wednesday 21st June 2023
08h00 - 10h00 (GMT +2)
Registration deadline : 20th June
Ekimetrics
36 Rue La Fayette
75009 Paris
CALCULATE MY ITINERARY

  • 25 € Graduate members

  • 35 € Non-member graduates
    Outdoor

Registration closed
  • 6 registered
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    • Other events
    17 Sep
    HR Grandes Ecoles workshop
    Grande Ecole career workshop
    19 Sep
    Perrine Kaltwasser
    DATA and AI breakfast
    See all events