Combining meta-modeling and categorical indicators for global sensitivity analysis of long-running flow simulators with spatially dependent inputs
type: Item
instance of: scholarly article
title: Combining meta-modeling and categorical indicators for global sensitivity analysis of long-running flow simulators with spatially dependent inputs
zbMATH Open document ID: 1393.86006
author: Jeremy Rohmer
published in: Computational Geosciences
publication date: 2018-08-22T00:00:00Z
Mathematics Subject Classification ID: 86-08
Mathematics Subject Classification ID: 76M35
zbMATH DE Number: 6921805
zbMATH Keywords: computationally intensive flow model
zbMATH Keywords: Sobol' indices
zbMATH Keywords: surrogate model
zbMATH Keywords: spatially dependent inputs
zbMATH Keywords: pointer variables
zbMATH Keywords: adaptive component selection and shrinkage operator
describes a project that uses: ElemStatLearn
describes a project that uses: R
describes a project that uses: gss
describes a project that uses: TOUGH
describes a project that uses: sensitivity
MaRDI profile type: Publication
full work available at URL: s10596-013-9391-x
OpenAlex ID: W1995948782
cites work: Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
cites work: Q3515043
cites work: Geological modeling and simulation of CO\(_{2}\) injection in the Johansen formation
cites work: Global sensitivity analysis through polynomial chaos expansion of a basin-scale geochemical compaction model
cites work: Risk management for petroleum reservoir production: A simulation-based study of prediction
cites work: Smoothing spline ANOVA models
cites work: Component selection and smoothing in multivariate nonparametric regression
cites work: A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
cites work: Making best use of model evaluations to compute sensitivity indices
cites work: Q5444939
cites work: Representing spatial uncertainty using distances and kernels
cites work: Q4950363
cites work: Surface estimation, variable selection, and the nonparametric oracle property
cites work: Global sensitivity analysis for a numerical model of radionuclide migration from the RRC ``Kurchatov Institute'' radwaste disposal site
DOI: 10.1007/S10596-013-9391-X
Recommended article: Global sensitivity analysis of stochastic computer models with joint metamodels
Recommended article: On the use of sensitivity analysis in model reduction to predict flows for varying inflow conditions
Recommended article: Global sensitivity analysis for a stochastic flow problem
Recommended article: Certified metamodels for sensitivity indices estimation
Recommended article: Metamodel construction for sensitivity analysis
Recommended article: Multi-method global sensitivity analysis of mathematical models
Recommended article: Multidimensional Sensitivity Analysis of Large-Scale Mathematical Models
Recommended article: Sequential sensitivity analysis of expensive black-box simulators with metamodelling
description: scientific article; zbMATH DE number 6921805