Sensitivity analysis in model calibration: GSA-GLUE approach

DOI10.1016/S0010-4655(01)00159-XzbMath0981.65017OpenAlexW2048330891MaRDI QIDQ5938255

Marco Ratto, Stefano Tarantola, Andrea Saltelli

Publication date: 5 March 2002

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0010-4655(01)00159-x

zbMATH Keywords

Monte Carlo samplingpredictionsfactor analysisgeneralized likelihood uncertainty estimation techniquegeneralized sensitivity analysisglobal sensitivity analysislikelihood measuresmodel calibrationmodel uncertaintyuncertainty analysis

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Factor analysis and principal components; correspondence analysis (62H25)

Related Items (7)

A sensitivity analysis method to evaluate the impacts of random and interval variables on the probability box ⋮ A new algorithm for variance based importance analysis of models with correlated inputs ⋮ Importance analysis for models with correlated input variables by the state dependent parameters method ⋮ A novel sensitivity analysis method in structural performance of hydraulic press ⋮ Assessing an efficient hybrid of Monte Carlo technique (GSA-GLUE) in uncertainty and sensitivity analysis of vanGenuchten soil moisture characteristics curve ⋮ Decoupling correlated and uncorrelated parametric uncertainty contributions for nonlinear models ⋮ Extending a global sensitivity analysis technique to models with correlated parameters

Cites Work

• Sensitivity measures,anova-like Techniques and the use of bootstrap
• On the distribution of points in a cube and the approximate evaluation of integrals
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