Programme

WEB SESSION

18 May 2021

Predictive Modelling for Life & Health Insurance

Tuesday, 18 May 2021

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

Seminar Details

Programme

CPD Credits

Participant Feedback

4 of 5 Points

Sponsor

Sponsor of the Web Session