Year: 2026
Type: preprint
Abstract: A new approach for nonparametric estimation of the quantile density function (sparsity function) and its derivatives is suggested which is based on local polynomial estimation. The estimator has more advantageous properties at the boundaries than classical quantile density estimators. Asymptotic normality is shown and the bias, asymptotic variance as well as boundary properties are compared with other estimators.
Source: arXiv (Cornell University)
Authors: Jacobsen, Niclas, Neumeyer, Natalie
Institutions: Universität Hamburg, HAW Hamburg
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7169766569
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