Optimal Subsampling Methods for Statistical Models
Optimal Subsampling Methods for Generalized Linear Models
Optimal Subsampling Methods for Quantile Regression Model
Optimal Subsampling for Logistic Regression Model with Rare Events Dat...
Optimal Subsampling Method for Softmax (multinomial logistic) Regressi...
Optimal Subsampling Methods for Statistical Models
Balancing computational and statistical efficiency, subsampling techniques offer a practical solution for handling large-scale data analysis. Subsampling methods enhance statistical modeling for massive datasets by efficiently drawing representative subsamples from full dataset based on tailored sampling probabilities. These probabilities are optimized for specific goals, such as minimizing the variance of coefficient estimates or reducing prediction error.