Semi-supervised estimation for the varying coefficient regression model
In many cases, the 'labeled' outcome is difficult to observe and may require a complicated or expensive procedure, and the predictor information is easy to be obtained. We propose a semi-supervised estimator for the one-dimensional varying coefficient regression model which improves the co...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-01-01
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Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2024004?viewType=HTML |