Nonparametric regression

Two kinds of kernels used with kernel smoothers for nonparametric regression.

Use of Gaussian kernels for nonparametric multiplicative regression with two predictors. The weights from the kernel function for each predictor are multiplied to obtain a weight for a given data point in estimating a response variable (dependent variable) at a target point in the predictor space.

Nonparametric regression is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on parametric models because the data must supply the model structure as well as the model estimates.

单词	Nonparametric regression
释义	Nonparametric regression 英语例句库 In the fitting methods of both the ordinary nonparametric regression models and the varying coefficient regression models, the error term of the models is usually assumed to be homoscedastic. 在以上这些回归模型的拟合方法中，通常假定模型的误差是等方差的。英语百科 Nonparametric regression Nonparametric regression is a form of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. Nonparametric regression requires larger sample sizes than regression based on parametric models because the data must supply the model structure as well as the model estimates.
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