On the coalitional decomposition of parameters of interest

Understanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attributed to each coalition of inputs (i.e., subsets of inputs). In this paper, we produce conditions for obtaining unambigu...

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Main Authors: Il Idrissi, Marouane, Bousquet, Nicolas, Gamboa, Fabrice, Iooss, Bertrand, Loubes, Jean-Michel
Format: Article
Language:English
Published: Académie des sciences 2023-11-01
Series:Comptes Rendus. Mathématique
Online Access:https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.521/
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author Il Idrissi, Marouane
Bousquet, Nicolas
Gamboa, Fabrice
Iooss, Bertrand
Loubes, Jean-Michel
author_facet Il Idrissi, Marouane
Bousquet, Nicolas
Gamboa, Fabrice
Iooss, Bertrand
Loubes, Jean-Michel
author_sort Il Idrissi, Marouane
collection DOAJ
description Understanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attributed to each coalition of inputs (i.e., subsets of inputs). In this paper, we produce conditions for obtaining unambiguous and interpretable decompositions of very general parameters of interest. This allows recovering known decompositions, holding under weaker assumptions than the literature states.
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institution Kabale University
issn 1778-3569
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series Comptes Rendus. Mathématique
spelling doaj-art-9a77d64bda774ffb86130501030f24882025-02-07T11:11:47ZengAcadémie des sciencesComptes Rendus. Mathématique1778-35692023-11-01361G101653166210.5802/crmath.52110.5802/crmath.521On the coalitional decomposition of parameters of interestIl Idrissi, Marouane0https://orcid.org/0000-0001-6642-4752Bousquet, Nicolas1https://orcid.org/0000-0001-6275-5888Gamboa, Fabrice2https://orcid.org/0000-0001-9779-4393Iooss, Bertrand3https://orcid.org/0000-0001-6988-2126Loubes, Jean-Michel4https://orcid.org/0000-0002-1252-2960EDF Lab Chatou, 6 Quai Watier, 78401 Chatou, France; Institut de Mathématiques de Toulouse, 31062 Toulouse, France; SINCLAIR AI Lab., Saclay, FranceEDF Lab Chatou, 6 Quai Watier, 78401 Chatou, France; SINCLAIR AI Lab., Saclay, France; Sorbonne Université, LPSM, 4 place Jussieu, Paris, FranceInstitut de Mathématiques de Toulouse, 31062 Toulouse, FranceEDF Lab Chatou, 6 Quai Watier, 78401 Chatou, France; Institut de Mathématiques de Toulouse, 31062 Toulouse, France; SINCLAIR AI Lab., Saclay, FranceInstitut de Mathématiques de Toulouse, 31062 Toulouse, FranceUnderstanding the behavior of a black-box model with probabilistic inputs can be based on the decomposition of a parameter of interest (e.g., its variance) into contributions attributed to each coalition of inputs (i.e., subsets of inputs). In this paper, we produce conditions for obtaining unambiguous and interpretable decompositions of very general parameters of interest. This allows recovering known decompositions, holding under weaker assumptions than the literature states.https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.521/
spellingShingle Il Idrissi, Marouane
Bousquet, Nicolas
Gamboa, Fabrice
Iooss, Bertrand
Loubes, Jean-Michel
On the coalitional decomposition of parameters of interest
Comptes Rendus. Mathématique
title On the coalitional decomposition of parameters of interest
title_full On the coalitional decomposition of parameters of interest
title_fullStr On the coalitional decomposition of parameters of interest
title_full_unstemmed On the coalitional decomposition of parameters of interest
title_short On the coalitional decomposition of parameters of interest
title_sort on the coalitional decomposition of parameters of interest
url https://comptes-rendus.academie-sciences.fr/mathematique/articles/10.5802/crmath.521/
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