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Page Content

WEB SESSION

18 May 2021

Predictive Modelling for Life & Health Insurance

Tuesday, 18 May 2021

  1. 13:00 - 13:30 Introduction to analytics and predictive modeling
  2. Context in insurance
  3. Classical algorithms – supervised vs. unsupervised
  4. Introduction to software – R and Python
  5. 13:30 - 14:00 Modeling process
  6. Data preparation, variable selection, and model validation
  7. Data visualization concepts
  8. 14:00 - 14:40 Introduction to Generalized Linear Models (GLM)
  9. Binomial, Poisson, Gamma and Inverse Gaussian models
  10. Logistic regression (probit, logit)
  11. 14:40 - 16:00 Introduction to Classification and Regression Trees (CART)
  12. Introduction to Gradient Boosting Models (GBM)
  13. 16:00 - 17:00 Applications to Life and Health Insurance
  14. Application – setting mortality assumptions
  15. Application – predicting claim incidence
  16. All the above times are given in CEST.
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