Nonparametric Estimation of Heavy-Tailed Density by the Discrepancy Method
From MaRDI portal
Publication:5280081
DOI10.1007/978-3-319-41582-6_8zbMath1366.62069OpenAlexW2519953948MaRDI QIDQ5280081
Publication date: 20 July 2017
Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-41582-6_8
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Minimum distance density-based estimation
- Experimental analysis of nonparametric probability density estimates and of methods for smoothing them
- Rate of convergence in \(L_ 2\) of the projection estimator of the distribution density
- On bandwidth variation in kernel estimates. A square root law
- Bandwidth selection: Classical or plug-in?
- On optimal data-based bandwidth selection in kernel density estimation
- Gamma kernel estimation of the density derivative on the positive semi-axis by dependent data
- Nonparametric Analysis of Univariate Heavy‐Tailed Data
- Probability density function estimation using gamma kernels