Ouvrages publiés en collaboration (3)
  1. 1. Denuit, M., Hainaut, D., & Trufin, J. (2020). Effective Statistical Learning Methods for Actuaries II: Tree-based Methods and Extensions. Switzerland: Springer Actuarial Lecture Notes.
  2. 2. Denuit, M., Hainaut, D., & Trufin, J. (2019). Effective Statistical Learning Methods for Actuaries III: Neural Networks and Extensions. Switzerland: Springer Actuarial Lecture Notes.
  3. 3. Denuit, M., Hainaut, D., & Trufin, J. (2019). Effective Statistical Learning Methods for Actuaries I: GLMs and Extension. Switzerland: Springer Actuarial Lecture Notes.
    4.   Articles dans des revues avec comité de lecture (45)
  4. 1. Denuit, M., Petit, R., Simon, P.-A., & Trufin, J. (2026). Recursive Partitioning based on Gini index for insurance pricing. European Actuarial Journal.
  5. 2. Simon, P.-A., Denuit, M., & Trufin, J. (2025). DPTree and DPForest: Tree-based methods fulfilling demographic parity. Annals of Actuarial Science, 1-19. doi:10.1017/S1748499525100092
  6. 3. Denuit, M., Huyghe, J., Simon, P.-A., & Trufin, J. (2025). Tweedie dominance for autocalibrated predictors and Laplace transform order. Scandinavian actuarial journal. doi:10.1080/03461238.2025.2557295
  7. 4. Denuit, M., Huyghe, J., Trufin, J., & Verdebout, T. (2024). Testing for auto-calibration with Lorenz and Concentration curves. Insurance. Mathematics & economics, 117, 130-139. doi:10.1016/j.insmatheco.2024.04.003
  8. 5. Simon, P.-A., Trufin, J., & Denuit, M. (2023). Bivariate Poisson credibility model and bonus-malus scale for claim and near-claim events. North American actuarial journal.
  9. 6. Gireg, W., Trufin, J., & Denuit, M. (2023). Boosted Poisson regression trees: A guide to the BT package in R. Annals of Actuarial Science.
  10. 7. Huyghe, J., Trufin, J., & Denuit, M. (2023). Boosting cost-complexity pruned trees on Tweedie responses: the ABT machine for insurance ratemaking. Scandinavian actuarial journal, 1-23. doi:10.1080/03461238.2023.2258135
  11. 8. Denuit, M., & Trufin, J. (2023). Model selection with Pearson's correlation, concentration and Lorenz curves under autocalibration. European Actuarial Journal, 13, 871-878.
  12. 9. Sinner, C., Dominicy, Y., Trufin, J., Waterschoot, W., Weber, P., & Ley, C. (2023). From Pareto to Weibull – A Constructive Review of Distributions on ℝ+. International statistical review, 91(1), 35-54. doi:10.1111/insr.12508
    13. << Précédent 1 2 3 4 5 Suivant >>