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