Emulators for Large-scale Computer Experiments with Quantitative and Qualitative Inputs

Anita Shahrokhian; Youngdeok Hwang; C. Devon Lin

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arXiv · 2606.02777

Emulators for Large-scale Computer Experiments with Quantitative and Qualitative Inputs

Anita Shahrokhian·Youngdeok Hwang·C. Devon Lin

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Abstract

Computer experiments with both quantitative and qualitative inputs have become common across various areas. However, constructing accurate and computationally efficient emulators for such experiments at large scales remains a significant challenge. We propose a novel, scalable framework for emulating computer experiments with mixed inputs. Our approach is based on a new covariance function integrating additive Gaussian Processes (GPs) to handle the mixed inputs, with Vecchia approximation for scalability. We demonstrate that methods for large-scale computer experiments can be effectively extended when paired with our proposed modeling framework.

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Anita Shahrokhian, Youngdeok Hwang, C. Devon Lin. 2026-06-01. Emulators for Large-scale Computer Experiments with Quantitative and Qualitative Inputs. https://arxiv.org/abs/2606.02777

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