Statistical learning methods for insurance

lactu2310  2024-2025  Louvain-la-Neuve

Statistical learning methods for insurance
3.00 credits
15.0 h
Q2
Language
Prerequisites
Knowledge of English at the level of the LANGL1330 course.
LACTU2150 Analyse statistique des données d'assurance
Main themes
Classification and regression trees for claim propension, claim counts, claim severities and claim duration. Ensemble methods: Bagging, Random forests, Boosting. Applications to risk classification.
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Actuarial Science