Abstract Details
Activity Number:
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501
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Type:
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Contributed
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Date/Time:
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Wednesday, August 12, 2015 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #315573
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View Presentation
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Title:
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Maximum Projection Designs for Computer Experiments
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Author(s):
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Shan Ba* and V. Roshan Joseph and Evren Gul
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Companies:
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Procter & Gamble Company and Georgia Institute of Technology and Georgia Institute of Technology
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Keywords:
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Experimental design ;
Gaussian process ;
Latin hypercube design ;
Screening design ;
Space-filling design
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Abstract:
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Space-filling properties are important in designing computer experiments. The traditional maximin and minimax distance designs only consider space-filling in the full dimensional space. This can result in poor projections on lower dimensional spaces, which are undesirable when only a few factors are active. Restricting maximin distance design to the class of Latin hypercubes can improve one-dimensional projections, but cannot guarantee good space-filling properties in the other subspaces. In this work, we propose designs that maximize certain space-filling properties on projections to all subsets of factors. We call our designs maximum projection designs. Our design criterion can be computed at a cost no more than a design criterion that ignores projection properties.
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Authors who are presenting talks have a * after their name.
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