Bayesian Approach in Nonparametric Count Regression with Binomial Kernel

DOI10.1080/03610918.2012.725145zbMath1291.62091OpenAlexW2020049299MaRDI QIDQ5415903

Smail Adjabi, Nabil Zougab, Célestin C. Kokonendji

Publication date: 19 May 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.725145

zbMATH Keywords

bandwidthcross-validationkernelMCMCcount function

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Related Items (8)

A multivariate non-parametric kernel estimator for global sensitivity analysis ⋮ A Bayesian approach for nonparametric regression in the presence of correlated errors ⋮ Birnbaum-Saunders power-exponential kernel density estimation and Bayes local bandwidth selection for nonnegative heavy tailed data ⋮ Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data ⋮ On Modeling Wood Formation Using Parametric and Semiparametric Regressions for Count Data ⋮ Bayesian variance-stabilizing kernel density estimation using conjugate prior ⋮ Bayesian approach to bandwidth selection for multivariate count regression function estimation by associated discrete kernel ⋮ Effects of associated kernels in nonparametric multiple regressions

Cites Work

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• Unnamed Item

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