A two-stage optimal subsampling estimation for missing data problems with large-scale data
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Publication:2143025
DOI10.1016/j.csda.2022.107505OpenAlexW4225399180MaRDI QIDQ2143025
Miaomiao Su, Ruoyu Wang, Qi Hua Wang
Publication date: 30 May 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107505
Uses Software
Cites Work
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- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data
- Local case-control sampling: efficient subsampling in imbalanced data sets
- Faster least squares approximation
- Optimal subsampling for large-scale quantile regression
- Local uncertainty sampling for large-scale multiclass logistic regression
- Optimal subsampling for softmax regression
- Improved double-robust estimation in missing data and causal inference models
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- Sampling algorithms for l2 regression and applications
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Inference on Treatment Effects after Selection among High-Dimensional Controls
- Program Evaluation and Causal Inference With High-Dimensional Data
- Causal Inference on Quantiles with an Obstetric Application
- Optimal Subsampling for Large Sample Logistic Regression
- Double/debiased machine learning for treatment and structural parameters
- Information-Based Optimal Subdata Selection for Big Data Linear Regression
- Optimal subsampling for quantile regression in big data
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