Lecture3 Slide - The Department of Statistics and Applied Probability ...
Lecture3 Slide - The Department of Statistics and Applied Probability ...
Lecture3 Slide - The Department of Statistics and Applied Probability ...
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29<br />
Digression to density estimation<br />
From ˆf (x) − f (x) = n ∑<br />
i=1<br />
ξ in + Bias<br />
{<br />
ˆf (x)<br />
}<br />
, one gets<br />
E<br />
{<br />
{ } 2 n<br />
} 2<br />
∑<br />
{ }<br />
ˆf (x) − f (x) = E ξ in +Bias 2 ˆf (x)<br />
i=1<br />
= V 2 n +Bias 2 { ˆf (x)<br />
}<br />
E<br />
{ } { 2 f (x)<br />
f ˆf (2) (x) − f (x) =<br />
nh c (x)<br />
K {1 + u (1)}+ h 2 d K + u ( h 2)} 2<br />
2!<br />
ST5207 Nonparametric Regression, 27th January 2005