So sánh phương pháp

	Hồi quy Mạng Lưới Co Giãn	Hồi quy Quantile
Lĩnh vực	Thống kê	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	2005	1978
Người khởi xướng	Hui Zou and Trevor Hastie	Koenker & Bassett
Loại	Penalized linear regression	Conditional quantile regression
Công trình gốc	Zou, H., & Hastie, T. (2005). Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(2), 301-320.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Tên gọi khác	elastic net, EN regression, L1+L2 regularized regression, combined lasso-ridge regression	conditional quantile regression, regression quantiles, Kantil Regresyon
Liên quan	6	5
Tóm tắt	Elastic net regression combines the L1 (lasso) and L2 (ridge) penalties into a single regularized regression framework. Controlled by a mixing parameter alpha and a shrinkage strength lambda, it can simultaneously select variables and handle correlated predictors — overcoming key limitations of pure lasso and pure ridge applied alone.	Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.