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Generalization error for Tweedie models: decomposition and error reduction with bagging


Wüthrich and Buser (DOI:10.2139/ssrn.2870308, 2020) studied the generalization error for Poisson regression models. This short note aims to extend their results to the Tweedie family of distributions, to which the Poisson law belongs. In case of bagging, a new condition emerges that becomes increasingly binding with the power parameter involved in the Tweedie variance function.

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Correspondence to Julien Trufin.

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Denuit, M., Trufin, J. Generalization error for Tweedie models: decomposition and error reduction with bagging. Eur. Actuar. J. 11, 325–331 (2021).

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  • Generalization error
  • Supervised learning
  • Exponential dispersion family
  • Tweedie
  • Bagging