Bayesian approach to bandwidth selection for multivariate count regression function estimation by associated discrete kernel

DOI10.1080/15598608.2017.1281180zbMath1425.62063OpenAlexW2579884309MaRDI QIDQ2321797

Smail Adjabi, Lamia Djerroud, Nabil Zougab

Publication date: 23 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2017.1281180

zbMATH Keywords

cross-validationBayesian approachdiscrete kernelmultivariate kernel regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Monte Carlo methods (65C05)

Related Items

Semiparametric multiple kernel estimators and model diagnostics for count regression functions ⋮ Discrete multivariate associated kernel estimators using two multiplicative bias correction methods ⋮ Bayesian variance-stabilizing kernel density estimation using conjugate prior

Uses Software

• BayesDA

Cites Work

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