Testing for Outliers with Conformal p-values
@inproceedings{Bates2021TestingFO, title={Testing for Outliers with Conformal p-values}, author={Stephen Bates and Emmanuel J. Cand{\`e}s and Lihua Lei and Yaniv Romano and Matteo Sesia}, year={2021} }
This paper studies the construction of p-values for nonparametric outlier detection, taking a multiple-testing perspective. The goal is to test whether new independent samples belong to the same distribution as a reference data set or are outliers. We propose a solution based on conformal inference, a broadly applicable framework which yields p-values that are marginally valid but mutually dependent for different test points. We prove these p-values are positively dependent and enable exact…
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