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Kernel-based ANOVA decomposition and Shapley effects -- Application to
  global sensitivity analysis

Kernel-based ANOVA decomposition and Shapley effects -- Application to global sensitivity analysis

14 January 2021
Sébastien Da Veiga
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Kernel-based ANOVA decomposition and Shapley effects -- Application to global sensitivity analysis"

3 / 3 papers shown
Title
On the coalitional decomposition of parameters of interest
On the coalitional decomposition of parameters of interest
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
61
9
0
06 Jan 2023
Exploiting deterministic algorithms to perform global sensitivity
  analysis of continuous-time Markov chain compartmental models with
  application to epidemiology
Exploiting deterministic algorithms to perform global sensitivity analysis of continuous-time Markov chain compartmental models with application to epidemiology
H. M. Kouye
G. Mazo
Clémentine Prieur
E. Vergu
38
1
0
15 Feb 2022
RKHS-SHAP: Shapley Values for Kernel Methods
RKHS-SHAP: Shapley Values for Kernel Methods
Siu Lun Chau
Robert Hu
Javier I. González
Dino Sejdinovic
FAtt
83
20
0
18 Oct 2021
1