Nonparametric Additive Regression for High-Dimensional Group Testing Data

Group testing has been verified as a cost-effective and time-efficient approach, where the individual samples are pooled with a predefined group size for subsequent testing. Recent research has explored the integration of covariate information to improve the modeling of the group testing data. While...

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Bibliographic Details
Main Authors: Xinlei Zuo, Juan Ding, Junjian Zhang, Wenjun Xiong
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/12/5/686