## Figures from this paper

## 2 Citations

A Review on Optimal Subsampling Methods for Massive Datasets

- Computer Science, Mathematics
- 2021

The optimal subsampling methods have been investigated to include logistic regression models, softmax regressors, generalized linear models, quantile 12 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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