Abstract
The supersaturated design is often used to discover important factors in an experiment with a large number of factors and a small number of runs. We propose a method for constructing supersaturated designs with small coherence. Such designs are useful for variable selection methods such as the Lasso. Examples are provided to illustrate the proposed method.
Publisher
New England Statistical Society
Cited by
1 articles.
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1. Editorial. Design and Analysis of Experiments for Data Science;The New England Journal of Statistics in Data Science;2023