Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
7 credits
45.0 h
Q2
Teacher(s)
Denuit Michel; Trufin Julien (compensates Denuit Michel);
Language
French
Bibliography
Matériel disponible en ligne, complété si nécessaire par
- Denuit, M., Charpentier, A. (2005). Mathématiques de l'Assurance NonVie. Tome II: Tarification et Provisionnement. Collection Economie et Statistique Avancées, Economica, Paris.
- Denuit, M., Hainaut, D., Trufin, J. (2019). Effective Statistical Learning Methods for Actuaries: GLMs and their Extensions. Springer Actuarial Lecture Notes Series.
- Trufin, J., Denuit, M., Hainaut, D. (2019). Effective Statistical Learning Methods for Actuaries: TreeBased Methods. Springer Actuarial Lecture Notes Series.
Teaching materials
- matériel sur moodle
Faculty or entity
LSBA
