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ARUdA
Conference object . 2015
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Small biased circular density estimation.

Authors: Di Marzio M.; Fensore S.; Panzera A.; Taylor C. C.;

Small biased circular density estimation.

Abstract

We study higher order biased non-parametric estimators for circular densities. The idea is optimizing a local version of the log-likelihood function where the unknown log-density is replaced by a series expansion. It will be seen that the asymptotic bias will be reduced depending on the order of the expanding polynomial.

Country
Italy
Keywords

Circular data, Density estimation, Product kernels, Toroidal data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green