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Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods.
Transductive Matrix Completion with Calibration for Multi-Task Learning
Moreover, transduction with matrix completion is a useful method in multi-label learning.
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data
A nonparametric propensity score estimator using the reproducing kernel Hilbert space is also developed by a novel application of the maximum entropy method for the density ratio function estimation.
Statistical Inference after Kernel Ridge Regression Imputation under item nonresponse
The root-n consistency of the imputation estimator is established when a Sobolev space is utilized in the kernel ridge regression imputation, which enables us to develop the proposed variance estimator.
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