
handle: 11564/775915 , 2158/1147757
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.
Circular data, Density estimation, Product kernels, Toroidal data
Circular data, Density estimation, Product kernels, Toroidal data
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