Research ArticleRESEARCH METHODS
Neyman-Pearson classification algorithms and NP receiver operating characteristics
- 1Department of Data Sciences and Operations, Marshall School of Business, University of Southern California, Los Angeles, CA 90089, USA.
- 2Department of Statistics, Columbia University, New York, NY 10027–5927, USA.
- 3Department of Statistics, University of California, Los Angeles, CA 90095–1554, USA.
- ↵*Corresponding author. Email: xint{at}marshall.usc.edu (X.T.); jli{at}stat.ucla.edu (J.J.L.)
↵† These authors contributed equally to this work.
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Science Advances 02 Feb 2018:
Vol. 4, no. 2, eaao1659
DOI: 10.1126/sciadv.aao1659
Vol. 4, no. 2, eaao1659
DOI: 10.1126/sciadv.aao1659
Xin Tong
Department of Data Sciences and Operations, Marshall School of Business, University of Southern California, Los Angeles, CA 90089, USA.
Yang Feng
Department of Statistics, Columbia University, New York, NY 10027–5927, USA.
Jingyi Jessica Li
Department of Statistics, University of California, Los Angeles, CA 90095–1554, USA.
