In this session we will quickly review the differences between exponential families and exponential dispersion families and revisit maximum likelihood estimation, KL divergences and sufficient statistics in chapter 3. This will place us well to start chapter 4 on predictive modelling, MSE, model validation and the deviance loss. We will also cover the actuarial interpretation of MSE that was the subject of a recent paper.

 Registration is now open!