Kernel adjusted density estimation
Copyright policy )Kernel adjusted density estimation
We propose and study a kernel estimator of a density in which the kernel is adapted to the data but not fixed. The smoothing procedure is followed by a location-scale transformation to reduce bias and variance. The new method naturally leads to an adaptive choice of the smoothing parameters which avoids asymptotic expansions.
- Justus Liebig University Giessen Germany
- Thammasat University Thailand
Density estimation, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], adaptive choice, kernel density estimator, Kernel density estimator, Adaptive choice, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
Density estimation, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], adaptive choice, kernel density estimator, Kernel density estimator, Adaptive choice, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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