Linganisha mbinu

	Regression ya Kiasi (Quantile Regression)	Regressioni ya Mtepe
Nyanja	Ekonometriki	Ujifunzaji wa Mashine
Familia	Regression model	Machine learning
Mwaka wa asili	1978	1970
Mwanzilishi	Koenker & Bassett	Hoerl, A.E. & Kennard, R.W.
Aina	Conditional quantile regression	L2-regularized linear regression
Chanzo asilia	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.	Hoerl, A.E. & Kennard, R.W. (1970). Ridge Regression: Biased Estimation for Nonorthogonal Problems. Technometrics, 12(1), 55–67.
Majina mbadala	conditional quantile regression, regression quantiles, Kantil Regresyon	Ridge Regresyonu, ridge regresyonu, L2-regularized regression, Tikhonov regularization
Zinazohusiana	5	4
Muhtasari	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.	Ridge Regression is an L2-regularized linear regression method, introduced by Arthur Hoerl and Robert Kennard in 1970, that reduces multicollinearity by adding a penalty on the size of the coefficients. It shrinks coefficients toward zero without setting any of them exactly to zero, producing more stable estimates when predictors are highly correlated.