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Inverse Problem for a Time-Series Valued Computer Simulator via Scalarization
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作者 Pritam Ranjan Mark Thomas +1 位作者 holger teismann Sujay Mukhoti 《Open Journal of Statistics》 2016年第3期528-544,共17页
For an expensive to evaluate computer simulator, even the estimate of the overall surface can be a challenging problem. In this paper, we focus on the estimation of the inverse solution, i.e., to find the set(s) of in... For an expensive to evaluate computer simulator, even the estimate of the overall surface can be a challenging problem. In this paper, we focus on the estimation of the inverse solution, i.e., to find the set(s) of input combinations of the simulator that generates a pre-determined simulator output. Ranjan et al. [1] proposed an expected improvement criterion under a sequential design framework for the inverse problem with a scalar valued simulator. In this paper, we focus on the inverse problem for a time-series valued simulator. We have used a few simulated and two real examples for performance comparison. 展开更多
关键词 Calibration Computer Experiments Contour Estimation Gaussian Process Model Non-Stationary Process Sequential Design
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