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An Application of the Elastic Net for an Endophenotype Analysis

โœ Scribed by Dean Palejev; Wookyeon Hwang; Nicole Landi; Maria Eastman; Stephen J. Frost; Robert K. Fulbright; Judith R. Kidd; Kenneth K. Kidd; Graeme F. Mason; W. Einar Mencl; Carolyn Yrigollen; Kenneth R. Pugh; Elena L. Grigorenko


Publisher
Springer US
Year
2011
Tongue
English
Weight
268 KB
Volume
41
Category
Article
ISSN
0001-8244

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This paper proposes a novel procedure based on a benchmarking model of data envelopment analysis (DEA) to solve the two-group classification problem. The idea was inspired by the fact that benchmarks dominate their own production possibility set (PPS). If observations belong to the same group, they