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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2606.02533 |
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| _version_ | 1866918535350976512 |
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| author | Yu, Wei-Yang Joseph, V. Roshan |
| author_facet | Yu, Wei-Yang Joseph, V. Roshan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2606_02533 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Space-Filling One-Factor-At-A-Time Designs Yu, Wei-Yang Joseph, V. Roshan Methodology 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. |
| title | Space-Filling One-Factor-At-A-Time Designs |
| topic | Methodology |
| url | https://arxiv.org/abs/2606.02533 |