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Finite sample penalization in adaptive density deconvolution

✍ Scribed by Comte, F.; Rozenholc, Y.; Taupin, M.-L.


Book ID
126481103
Publisher
Taylor and Francis Group
Year
2007
Tongue
English
Weight
937 KB
Volume
77
Category
Article
ISSN
0094-9655

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Kernel density estimation is a powerful tool for exploratory data analysis. Adaptive methods can improve the appearance of these curve estimates by smoothing away spurious "wiggles". The ΓΏnite sample performance of several location dependent bandwidths is studied by simulation. The mean integrated s