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Articles

Machine learning in individual claims reserving

Pages 465-480 | Received 11 Jan 2018, Accepted 12 Jan 2018, Published online: 24 Jan 2018

References

  • Antonio, K. & Plat, R. (2014). Micro-level stochastic loss reserving for general insurance. Scandinavian Actuarial Journal 2014(7), 649–669.
  • Bornhuetter, R. L. & Ferguson, R. E. (1972). The actuary and IBNR. Proceedings of the Casualty Actuarial Society 59, 181–195.
  • Breiman, L., Friedman, J. H., Olshen, R. A. & Stone, C. J. (1984). Classification and Regression Trees. Wadsworth statistics/probability series.
  • Charpentier, A. & Pigeon, M. (2016). Macro vs micro methods in non-life claims reserving an econometric perspective. Risks 4(2), 12.
  • Hastie, T., Tibshirani, R. & Friedman, J. (2009). The elements of statistical learning data mining, inference, and prediction. Springer series in statistics. 2nd ed. New York: Springer.
  • Hiabu, M., Margraff, C., Martínez-Miranda, M. D. & Nielsen, J. P. (2016). The link between classical reserving and granular reserving through double chain ladder and its extensions. British Actuarial Journal 21(1), 97–116.
  • James, G., Witten, D., Hastie, T. & Tibshirani, R. (2015). An introduction to statistical learning with applications in R. Corrected 6th printing. Springer texts in statistics. New York: Springer.
  • Jessen, A. H., Mikosch, T. & Samorodnitsky, G. (2011). Prediction of outstanding payments in a Poisson cluster model. Scandinavian Actuarial Journal 2011(3), 214–237.
  • Mack, T. (1993). Distribution-free calculation of the standard error of chain ladder reserve estimates. ASTIN Bulletin 23(2), 213–225.
  • Martínez-Miranda, M. D., Nielsen, J. P., Verrall, R. J. & Wüthrich, M. V. (2015). The link between classical reserving and granular reserving through double chain ladder and its extensions. Scandinavian Actuarial Journal 2015(5), 383–405.
  • Pigeon, M., Antonio, K. & Denuit, M. (2013). Individual loss reserving with the multivariate skew normal framework. ASTIN Bulletin 43(3), 399–428.
  • Taylor, G., McGuire, G. & Sullivan, J. (2008). Individual claim loss reserving conditioned by case estimates. Annals of Actuarial Science 3(1–2), 215–256.
  • Therneau, T. M., Atkinson, E. J. & Foundation, M. (2015). An introduction to recursive partitioning using the RPART routines. R Vignettes.
  • Verrall, R. J. & Wüthrich, M. V. (2016). Understanding reporting delay in general insurance. Risks 4(3), 25.
  • Wüthrich, M. V. (2017). Neural networks applied to chain-ladder reserving. SSRN Manuscript ID 2966126.
  • Wüthrich, M. V. & Buser, C. (2017). Data analytics for non-life insurance pricing. SSRN Manuscript ID 2870308.
  • Wüthrich, M. V. & Merz, M. (2015). Stochastic claims reserving manual: advances in dynamic modeling. SSRN Manuscript ID 2649057.

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