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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23<br />
Step one, continued<br />
•<br />
≤<br />
[ f (x)<br />
nh<br />
∫<br />
n −(2+δ) 2 1+δ 1<br />
h 1+δ<br />
K 2 (v) dv {1 + u (1)}] −(2+δ)/2<br />
× n×<br />
∫<br />
max f (t)<br />
t∈[a,b]<br />
K 2+δ (v) dv {1 + u (1)}<br />
≤ Cn (2+δ)/2+1−(2+δ) h (2+δ)/2−(1+δ) = Cn −δ/2 h −δ/2 = C (nh) −δ/2<br />
• Lyapunov CLT shows<br />
V −1<br />
n<br />
n∑<br />
i=1<br />
ξ in<br />
D<br />
→ N (0, 1) ,<br />
{ f (x)<br />
nh<br />
∫<br />
} −1/2 ∑ n<br />
K 2 (v) dv<br />
i=1<br />
ξ in<br />
D<br />
→ N (0, 1)<br />
ST5207 Nonparametric Regression, 27th January 2005