Development of the IA|BE 2015 and IA|BE 2020 mortality projection models for the Belgian population
Hands-on workshop teaching statistical learning methods, tree-based machine learning and deep learning methods with R.
Introducing the basics of machine learning in R covering machine learning foundations, GLMs, GAMs, regression trees, random forests, gradient boosting machines and neural networks.
Insurance pricing with GLMs, GAMs and tree-based machine learning methods, construction of a GLM as a global surrogate for a more complex predictive model, the distRforest and maidrr packages
Development of the SMuRF algorithm for the construction of sparse GLMs with muli-type features
Development of tools to analyze telematics collected data for insurance pricing