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.

SMALL BIASED CIRCULAR DENSITY ESTIMATION / Marco Di Marzio, Stefania Fensore, Agnese Panzera, Charles C. Taylor. - ELETTRONICO. - (2015), pp. 1-4. (Intervento presentato al convegno CLADAG 2015).

SMALL BIASED CIRCULAR DENSITY ESTIMATION

Agnese Panzera;
2015

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.
2015
CLADAG 2015. 10° Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society.
CLADAG 2015
Marco Di Marzio, Stefania Fensore, Agnese Panzera, Charles C. Taylor
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1147757
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