Kernel regression

Not to be confused with Kernel principal component analysis.

Kernel regression is a non-parametric technique in statistics to estimate the conditional expectation of a random variable. The objective is to find a non-linear relation between a pair of random variables X and Y.

In any nonparametric regression, the conditional expectation of a variable $Y$ relative to a variable $X$ may be written:

单词	Kernel regression
释义	Kernel regression 英语百科 Kernel regression Not to be confused with Kernel principal component analysis. Kernel regression is a non-parametric technique in statistics to estimate the conditional expectation of a random variable. The objective is to find a non-linear relation between a pair of random variables X and Y. In any nonparametric regression, the conditional expectation of a variable $Y$ relative to a variable $X$ may be written:
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