arXiv · 2606.02533
Space-Filling One-Factor-At-A-Time Designs
Abstract
Space-filling designs are commonly used in deterministic computer experiments. However, they are ineffective for factor screening, which makes them inefficient when only a small subset of input factors is influential to the output. Recently developed screening designs, such as MOFAT designs, are effective at identifying important factors but lack space-filling properties, limiting their usefulness for surrogate modeling. In this article, we propose a new class of screening designs that improves the space-fillingness while retaining their screening capability. Through several numerical examples, we demonstrate that the proposed designs offer clear advantages over existing designs.
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Wei-Yang Yu, V. Roshan Joseph. 2026-06-01. Space-Filling One-Factor-At-A-Time Designs. https://arxiv.org/abs/2606.02533
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