विधियों की तुलना करें

	सामान्यीकृत योगात्मक मॉडल (GAM)	क्वांटाइल रिग्रेशन
क्षेत्र	मशीन अधिगम	अर्थमिति
परिवार	Machine learning	Regression model
उद्भव वर्ष	1986	1978
प्रवर्तक	Trevor Hastie & Robert Tibshirani	Koenker & Bassett
प्रकार	Semi-parametric additive regression model	Conditional quantile regression
मौलिक स्रोत	Hastie, T., & Tibshirani, R. (1986). Generalized additive models. Statistical Science, 1(3), 297–310.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
उपनाम	GAM, additive model, spline-based additive regression, Genelleştirilmiş toplamsal model	conditional quantile regression, regression quantiles, Kantil Regresyon
संबंधित	4	5
सारांश	A generalized additive model, introduced by Trevor Hastie and Robert Tibshirani in 1986, extends the generalized linear model by replacing each linear term with a smooth, data-driven function of the predictor. This lets the model capture nonlinear relationships while preserving the additive, term-by-term interpretability of regression: each predictor contributes its own estimated curve, and the curves simply add up (on a link scale) to predict the response.	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.