File:  [Research Unix] / researchv10dc / vol2 / index / kernelsm.tex
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researchv10 Dan Cross

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

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