Adaptive smoothing in associated kernel discrete functions estimation using Bayesian approach

DOI10.1080/00949655.2012.686615zbMath1453.62449OpenAlexW1964181297MaRDI QIDQ5218944

Smail Adjabi, Nabil Zougab, Célestin C. Kokonendji

Publication date: 6 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.686615

zbMATH Keywords

bandwidthcross-validationprior distributiondiscrete functionassociate kernel

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Bayesian inference (62F15)

Related Items (13)

Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation ⋮ Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions ⋮ BAYESIAN SELECTION OF LOCAL BANDWIDTH IN NON-HOMOGENEOUS POISSON PROCESS KERNEL ESTIMATORS FOR THE INTENSITY FUNCTION ⋮ Bayesian Selection of Adaptive Bandwidth in Non-homogeneous Poisson Process Kernel Estimators for the Intensity Function ⋮ Birnbaum-Saunders power-exponential kernel density estimation and Bayes local bandwidth selection for nonnegative heavy tailed data ⋮ Adaptive Bayesian bandwidth selection in asymmetric kernel density estimation for nonnegative heavy-tailed data ⋮ Bayesian adaptive bandwidth selector for multivariate discrete kernel estimator ⋮ Body tail adaptive kernel density estimation for nonnegative heavy-tailed data ⋮ Discrete triangular associated kernel and bandwidth choices in semiparametric estimation for count data ⋮ Bayesian local bandwidth selector in multivariate associated kernel estimator for joint probability mass functions ⋮ Asymptotic properties of Dirichlet kernel density estimators ⋮ Bayesian variance-stabilizing kernel density estimation using conjugate prior ⋮ Comparison study to bandwidth selection in binomial kernel estimation using Bayesian approaches

Cites Work

• Discrete associated kernels method and extensions
• A Bayesian approach to bandwidth selection for multivariate kernel density estimation
• Density estimation using asymmetric kernels and Bayes bandwidths with censored data
• On bandwidth variation in kernel estimates. A square root law
• Extensions of discrete triangular distributions and boundary bias in kernel estimation for discrete functions
• A Bayesian method to estimate the optimal bandwidth for multivariate kernel estimator
• On Locally Adaptive Density Estimation
• Bayesian approach to the choice of smoothing parameter in kernel density estimation
• Discrete triangular distributions and non-parametric estimation for probability mass function
• Bayes bandwidth selection in kernel density estimation with censored data

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