Optimizing the mean-squared error of nested Monte Carlo estimators with application to sensitivity analysis - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Communication Dans Un Congrès Année : 2023

Optimizing the mean-squared error of nested Monte Carlo estimators with application to sensitivity analysis

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hal-04248988 , version 1 (19-10-2023)

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  • HAL Id : hal-04248988 , version 1

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Gildas Mazo, Henri Mermoz Kouye. Optimizing the mean-squared error of nested Monte Carlo estimators with application to sensitivity analysis. European Meeting of Statisticians, Warsaw, Poland, 2023, Warsaw, Poland. ⟨hal-04248988⟩
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