A kernel smoother is a statistical technique to estimate a real valued function\({\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} }\) as the weighted average of neighboring observed data.
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Kernel smoother - Wikipedia Kernel smoother - Wikipedia Kernel smoother From Wikipedia, the free encyclopedia Jump to navigation Jump to search For broader coverage of this topic, see Kernel (statistics) . A kernel smoother is a statistical technique to estimate a real valued function f : R p → R {\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} } as the weighted average of neighboring observed data. The weight is defined by the kernel, such that closer points are given higher weights. The estimated function is smooth, and the level of smoothness is set by a single parameter. This t