Multivariate kernel density estimation: Difference between revisions

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m Optimal bandwidth matrix selection: practise --> practice
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: <math>\bold{H}_{\operatorname{AMISE}} = \operatorname{argmin}_{\bold{H} \in F} \, \operatorname{AMISE} (\bold{H}).</math>
 
Since this ideal selector contains the unknown density function ''ƒ'', it cannot be used directly. The many different varieties of data-based bandwidth selectors arise from the different estimators of the AMISE. We concentrate on two classes of selectors which have been shown to be the most widely applicable in practisepractice: smoothed cross validation and plug-in selectors.
 
===Plug-in===