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06/27/2023
Triply robust estimation under missing at random
Missing data is frequently encountered in many areas of statistics. Impu...
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02/20/2023
Transductive Matrix Completion with Calibration for Multi-Task Learning
Multi-task learning has attracted much attention due to growing multi-pu...
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07/15/2021
Statistical inference using Regularized M-estimation in the reproducing kernel Hilbert space for handling missing data
Imputation and propensity score weighting are two popular techniques for...
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04/27/2021
Propensity Score Estimation Using Density Ratio Model under Item Nonresponse
Missing data is frequently encountered in practice. Propensity score est...
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01/29/2021