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Annotation of researchv10dc/vol2/index/kernelsm.tex, revision 1.1

1.1     ! root        1: \figname{\kernelsm}
        !             2: \topinsert
        !             3: \vbox{
        !             4: \centerline{\psfig{file=figures/kernelsm.p,width=3in}}
        !             5: \medskip
        !             6: \figurecaption{\kernelsm}{The Gaussian kernel smoother uses the Gaussian density function to assign weights to neighbouring points. 
        !             7: The points within the shaded  neighbourhood are those that receive weights that are effectively nonzero for the computation of $\ev(Y\given x_0)$.}*
        !             8: }
        !             9: \endinsert

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