Day 1

– Introduction and overview, telematic data and simple models

– Practicals with R and exposure models: GAMM (Generalized Additive Mixed Models)  and GAMLSS (Generalized Additive Models for Location, Scale and Shape)

Day 2

– More advanced models for telematics (boosting), practicals with R

– Telematics and spatial models, practicals with R

Day 3

– Extracting information from pictures

Afternoon excursion

Day 4

– Text analysis, practicals with R

Day 5

– Using networks in insurance models