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MISNN: Multiple Imputation via Semi-parametric Neural Networks

Zhiqi Bu · Zongyu Dai · Yiliang Zhang · Qi Long首次提交 2023-05-02 · 修订 2023-05-02 · v1arXiv预印本

MISNN：基于半参数神经网络的多重插补AI 解读

Multiple imputation (MI) has been widely applied to missing value problems in biomedical, social and econometric research, in order to avoid improper inference in the downstream data analysis. In the presence of high-dimensional data, imputation models that include feature selection, especially $\ell_1$ regularized regression (such as Lasso, adaptive Lasso, and Elastic Net), are common choices to prevent the model from underdetermination. However, conducting MI with feature…Multiple imputation (MI) has been widely applied to missing value problems in biomedical, social and econometric research, in order to avoid improper inference in the downstream data analysis. In the presence of high-dimensional data, imputation models that include feature selection, especially $\ell_1$ regularized regression (such as Lasso, adaptive Lasso, and Elastic Net), are common choices to prevent the model from underdetermination. However, conducting MI with feature…

半参数与效率机器学习与 DML 贝叶斯

关联记录被引 0 次 ↗OpenAlex · 核验 2026-09-30

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