Speaker
Eric Schoen
(KU Leuven, Belgium)
Description
After completing the experimental runs of a screening design, the responses under study are analyzed by statistical methods to detect the active effects. To increase the chances of correctly identifying these effects, a good analysis method should provide alternative interpretations of the data, reveal the aliasing present in the design, and search only meaningful sets of effects as defined by user-specified restrictions such as effect heredity. This talk presents a mixed integer optimization strategy to analyze data from screening designs that possesses all these properties. We illustrate our method by analyzing data from real and synthetic experiments, and using simulations.
| Keywords | Best-subset selection, Dantzig selector, Simulated Annealing Model Search |
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Primary authors
Dr
Alan Vazquez
(University of California at Los Angeles)
Eric Schoen
(KU Leuven, Belgium)
Peter Goos
(KU Leuven, Universiteit Antwerpen)