Automatic bandwidth selection for recursive kernel density estimators with length-biased data

DOI10.1007/S42081-019-00053-ZzbMath1460.62048OpenAlexW2956054656WikidataQ127596024 ScholiaQ127596024MaRDI QIDQ830250

Yousri Slaoui

Publication date: 7 May 2021

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42081-019-00053-z

zbMATH Keywords

smoothingcurve fitting

Mathematics Subject Classification ID

Density estimation (62G07) Numerical smoothing, curve fitting (65D10) Stochastic approximation (62L20)

Related Items (1)

Minimum Hellinger distance estimation for discretely observed stochastic processes using recursive kernel density estimator

Cites Work

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• Wavelet density estimation for weighted data
• Nonparametric density estimation in presence of bias and censoring
• Data-driven bandwidth choice for density estimation based on dependent data
• Practical bandwidth selection in deconvolution kernel density estimation
• The stochastic approximation method for the estimation of a multivariate probability density
• Density estimation for biased data.
• Bandwidth selection for kernel distribution function estimation
• Recursive density estimators based on Robbins-Monro's scheme and using Bernstein polynomials
• Parameter estimation in a hierarchical random intercept model with censored response: an approach using a SEM algorithm and Gibbs sampling
• Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method
• The stochastic approximation method for estimation of a distribution function
• On the choice of smoothing parameters for semirecursive nonparametric hazard estimators
• A companion for the Kiefer-Wolfowitz-Blum stochastic approximation algorithm
• A unified theory of regularly varying sequences
• Nonparametric estimation under length-biased sampling and type I censoring: A moment based approach
• A comparioson of nonparametric unweighited and length-biased density estimation of fibres
• Kernel density estimation for length biased data
• Revisiting R\'ev\'esz's stochastic approximation method for the estimation of a regression function
• Biased and Unbiased Cross-Validation in Density Estimation
• On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions
• How to apply the method of stochastic approximation in the non-parametric estimation of a regression function¹
• A Stochastic Model of Carcinogenesis and Tumor Size at Detection
• Transformation- based density estimation For weighted distributions
• Bandwidth selection for kernel density estimation with length-biased data
• Recursive distribution estimator defined by stochastic approximation method using Bernstein polynomials
• Large and moderate deviation principles for recursive kernel density estimators defined by stochastic approximation method
• Recursive Nonparametric Estimation for Time Series
• Regularly Varying Sequences

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