MODELING EXPERIMENTAL DATA WITH POLYNOMIALS CHAOS

DOI10.1017/S026996481800030XOpenAlexW2885692937MaRDI QIDQ5050866

Hacène Djellout, Pierre Bonnet, Emeline Gayrard, Cédric Chauvière

Publication date: 18 November 2022

Published in: Probability in the Engineering and Informational Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s026996481800030x

zbMATH Keywords

numerical methodschaos expansionsexperimental data modeling

Mathematics Subject Classification ID

Statistics (62-XX) Numerical analysis (65-XX)

Uses Software

• fminsearch

Cites Work

• SAMBA: sparse approximation of moment-based arbitrary polynomial chaos
• Identification of Bayesian posteriors for coefficients of chaos expansions
• A stochastic projection method for fluid flow. II: Random process
• Nonparametric Hypothesis Testing
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
• The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
• Computational Modeling of Uncertainty in Time-Domain Electromagnetics
• The Homogeneous Chaos
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