Insurance data science with Python
Will follow…
Junior college financieel en actuarieel waarderen
Lecture targeting high school (college) students interested in purseing a degree in finance or actuarial science
Mortality modelling
Development of the IA|BE 2015 and IA|BE 2020 mortality projection models for the Belgian population
Reserving in non-life insurance
Development of methods to nowcast the number of IBNR claims and to estimate the RBNS reserve from fine-grained claims development data
Interviews, op-eds, speech
Will follow…
Hands-on machine learning in 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.
Machine learning for insurance pricing
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
Sparsity with multiple types of features
Development of the SMuRF algorithm for the construction of sparse GLMs with muli-type features
Telematics insurance
Development of tools to analyze telematics collected data for insurance pricing