Revision as of 00:51, 19 May 2015 edit Fgnievinski (talk \| contribs) Autopatrolled, Extended confirmed users 71,092 edits →See also: Local regression ← Previous edit		Revision as of 00:52, 19 May 2015 edit undo Fgnievinski (talk \| contribs) Autopatrolled, Extended confirmed users 71,092 edits →Nonparametric multiplicative regression Next edit →
Line 23: Kernel regression estimates the continuous dependent variable from a limited set of data points by [[Convolution\|convolving]] the data points' locations with a [[kernel function]]—approximately speaking, the kernel function specifies how to "blur" the influence of the data points so that their values can be used to predict the value for nearby locations. ==Nonparametric multiplicative regression{{anchor\|Multiplicative}}== {{split section\|Nonparametric multiplicative regression\|date=May 2015}} [[File:KernelTypes.png\|thumb\| Two kinds of kernels used with kernel smoothers for nonparametric regression.]]

Nonparametric regression: Difference between revisions