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

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      <subfield code="a">Generalization error for Tweedie models</subfield>
      <subfield code="b">: decomposition and error reduction with bagging</subfield>
      <subfield code="c">Michel Denuit, Julien Trufin</subfield>
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      <subfield code="a">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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      <subfield code="a">Distribución Poisson-Beta</subfield>
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      <subfield code="g">07/06/2021 Volúmen 11 - Número 1 - junio 2021 , p. 325-331</subfield>
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