Conditional Testing based on Localized Conformal p-values

• URL: http://arxiv.org/abs/2409.16829v1
• Date: Wed, 25 Sep 2024 11:30:14 GMT
• Title: Conditional Testing based on Localized Conformal p-values
• Authors: Xiaoyang Wu, Lin Lu, Zhaojun Wang, Changliang Zou,
• Abstract summary: We define the localized conformal p-values by inverting prediction intervals and prove their theoretical properties. These defined p-values are then applied to several conditional testing problems to illustrate their practicality.
• Score: 5.6779147365057305
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this paper, we address conditional testing problems through the conformal inference framework. We define the localized conformal p-values by inverting prediction intervals and prove their theoretical properties. These defined p-values are then applied to several conditional testing problems to illustrate their practicality. Firstly, we propose a conditional outlier detection procedure to test for outliers in the conditional distribution with finite-sample false discovery rate (FDR) control. We also introduce a novel conditional label screening problem with the goal of screening multivariate response variables and propose a screening procedure to control the family-wise error rate (FWER). Finally, we consider the two-sample conditional distribution test and define a weighted U-statistic through the aggregation of localized p-values. Numerical simulations and real-data examples validate the superior performance of our proposed strategies.

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