Bias reduction in kernel density estimation
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Publication:4643634
DOI10.1080/10485252.2018.1442927zbMath1475.62140OpenAlexW2790296228WikidataQ57519934 ScholiaQ57519934MaRDI QIDQ4643634
Publication date: 28 May 2018
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2018.1442927
Density estimation (62G07) Numerical smoothing, curve fitting (65D10) Stochastic approximation (62L20)
Related Items (6)
Nonparametric relative recursive regression ⋮ Bernstein polynomial of recursive regression estimation with censored data ⋮ Optimal bandwidth selection for recursive Gumbel kernel density estimators ⋮ Methodology for nonparametric bias reduction in kernel regression estimation ⋮ Nonparametric relative recursive regression estimators for censored data ⋮ Two new nonparametric kernel distribution estimators based on a transformation of the data
Cites Work
- The stochastic approximation method for the estimation of a multivariate probability density
- Bias reduction in kernel density estimation by smoothed empirical transformations
- Nonnegative bias reduction methods for density estimation using asymmetric kernels
- On bandwidth variation in kernel estimates. A square root law
- Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method
- A companion for the Kiefer-Wolfowitz-Blum stochastic approximation algorithm
- A unified theory of regularly varying sequences
- On nonparametric kernel density estimates
- Remarks on Some Nonparametric Estimates of a Density Function
- Modifying the kernel distribution function estimator towards reduced bias
- On bias reduction in local linear smoothing
- Skewing and Generalized Jackknifing in Kernel Density Estimation
- A simple bias reduction method for density estimation
- Bias reduction in kernel density estimation via Lipschitz condition
- A New Kernel Distribution Function Estimator Based on a Non‐parametric Transformation of the Data
- Regularly Varying Sequences
- On Estimation of a Probability Density Function and Mode
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