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07/21/2023
Multiple bias-calibration for adjusting selection bias of non-probability samples using data integration
Valid statistical inference is challenging when the sample is subject to...
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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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10/17/2022
Weighted Clustered Coefficients Regression Models in Survey Sampling
Regression models are studied in survey data and are widely used to cons...
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09/28/2022
Nonparametric augmented probability weighting with sparsity
Nonresponse frequently arises in practice, and simply ignoring it may le...
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04/20/2022
Functional Calibration under Non-Probability Survey Sampling
Non-probability sampling is prevailing in survey sampling, but ignoring ...
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01/18/2022
Nonparametric Feature Selection by Random Forests and Deep Neural Networks
Random forests are a widely used machine learning algorithm, but their c...
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07/14/2021
Survey data integration for regression analysis using model calibration
We consider regression analysis in the context of data integration. To c...
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07/19/2019
Matrix Completion for Survey Data Prediction with Multivariate Missingness
Survey data are the gold-standard for estimating finite population param...
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02/24/2019
Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach
Standard statistical methods that do not take proper account of the comp...
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01/07/2019
Bootstrap inference for the finite population total under complex sampling designs
Bootstrap is a useful tool for making statistical inference, but it may ...
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01/29/2018