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2 Citations
A Review on Optimal Subsampling Methods for Massive Datasets
- Computer Science, MathematicsJournal of Data Science
- 2021
The optimal subsampling methods have been investigated to include logistic regression models, softmax regression model, generalized linear models, quantile regression Models, and quasi-likelihood estimation.
Maximum sampled conditional likelihood for informative subsampling
- MathematicsArXiv
- 2020
The asymptotic normality of the MSCLE is established and it is proved that its asymPTotic variance covariance matrix is the smallest among a class of asymptonically unbiased estimators, including the inverse probability weighted estimator.
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