Approximation of IMSE-optimal Designs via Quadrature Rules and Spectral Decomposition |
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Authors: | Bertrand Gauthier Luc Pronzato |
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Affiliation: | Laboratoire I3S - UMR 7271 - Université de Nice-Sophia Antipolis/CNRS, France |
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Abstract: | We address the problem of computing integrated mean-squared error (IMSE) optimal designs for interpolation of random fields with known mean and covariance. We assume that the mean squared error is integrated through a discrete measure and restrict the design space to its support. We show that the IMSE and its approximation by spectral truncation can be easily evaluated, which makes their global minimization affordable. Numerical experiments are carried out that illustrate the effectiveness of the approach. |
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Keywords: | IMSE Optimal design of experiments Quadrature approximation Random field models Simulated annealing Spectral approximation |
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