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Mardi 13 décembre 2022| 15:00 - 16:30

  • Séminaires thématiques
  • big data and econometrics seminar

Mohammad Abu-Zaineh

AMSE
Ranking illfare distributions in the presence of partially-ordered health states
Mardi 6 décembre 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Arthur Thomas

Université Paris Dauphine-PSL
Bet on a bubble asset ? An optimal portfolio allocation strategy
Mardi 22 novembre 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Emmanuel Flachaire

AMSE
Inequality decomposition with machine learning
Mardi 8 novembre 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Sullivan Hué

AMSE
GAM(L)A: An econometric model for interpretable Machine Learning
Mardi 11 octobre 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Michel Lubrano

AMSE
Bayesian inference for non-anonymous Growth Incidence Curves using Bernstein polynomials: an application to academic wage dynamics with gender issues
Mardi 21 juin 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Romain Ferrali

AMSE
How to reduce bureaucratic corruption? Unpacking Brazilian anti-corruption audits
Mardi 31 mai 2022| 14:00 - 15:30

  • joint seminars
  • big data and econometrics seminar
  • finance seminar

Kris Jacobs

University of Houston
Fast filtering with large option panels: Implications for asset pricing
Mardi 24 mai 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Tim Verdonck

KU Leuven
Cost-sensitive learning for fraud detection
Mardi 10 mai 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Jeroen Rombouts

ESSEC Business School
Data-driven solutions for large-scale agile demand forecasting at digital platforms
Mardi 26 avril 2022| 14:00 - 15:30

  • Séminaires thématiques
  • big data and econometrics seminar

Anne Ruiz-Gazen

Toulouse School of Economics
Statistical data integration using a prediction approach for finite population inference