The identification of model effective dimensions using global sensitivity analysis

摘要: It is shown that the effective dimensions can be estimated at reasonable computational costs using variance based global sensitivity analysis. Namely, dimension in truncation sense found by Sobol’ indices for subsets of variables. The superposition first order effects and total indices. classification some important classes integrable functions on their proposed. it used prediction QMC efficiency. Results numerical tests verify developed techniques.