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3-5 May 2023
Universität Klagenfurt
Europe/Vienna timezone

Schedule

Wednesday, May 3rd 2023

  • 09:00-10:30        ⇒ Introduction, Generalized Linear Models (GLMs)
  • 10:30-11:00        ⇒ Break
  • 11:00-12:30        ⇒  Model calibration, error measurement
  • 12:30-13:30        ⇒ Lunch
  • 13:30-15:00        ⇒ Exercise Session: GLMs and practical examples
  • 15:00-15:30        ⇒ Break
  • 15:30-17:00        ⇒ Classification and Regression Trees (CART)

 

 

Thursday, May 4th 2023

  • 09:00-10:30        ⇒ Bagging, Boosting, Random Forests
  • 10:30-11:00        ⇒ Break
  • 11:00-12:30        ⇒  Exercise Session: CART and practical examples
  • 12:30-13:30        ⇒ Lunch
  • 13:30-15:00        ⇒ Deep learning and neural networks
  • 15:00-15:30        ⇒ Break
  • 15:30-17:00        ⇒ Applications of neural networks in life and non-life insurance

 

 

Friday, May 5th 2023

  • 09:00-10:30        ⇒ Model choice and comparison
  • 10:30-11:00        ⇒ Break
  • 11:00-12:30        ⇒  Clustering insurance portfolios