TY  - JOUR
ID  - heidok20872
CY  - Amsterdam
Y1  - 1997/03/15/
PB  - North-Holland Publ. Co.
AV  - public
A1  - Mammen, Enno
A1  - Park, Byeong U.
N2  - In this paper higher order performance of kernel basedadaptive location estimators are considered. Optimalchoice of smoothing parameters is discussed and it isshown how much is lossed in efficiency by not knowingthe underlying translation density.
KW  - Adaptive estimation; Bandwith; Kernel function; Semi-parametric location model
IS  - 2
SN  - 0378-3758
EP  - 348
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/20872/
TI  - Optimal Smoothing in Adaptive Location Estimation
VL  - 58
JF  - Journal of Statistical Planning and Inference
SP  - 333
ER  -