Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data

DOI10.1007/s00180-015-0627-1zbMath1342.65061OpenAlexW2176714890MaRDI QIDQ736586

Célestin C. Kokonendji, Tristan Senga Kiessé, Nabil Zougab

Publication date: 4 August 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0627-1

zbMATH Keywords

cross-validationprobability mass functionMCMCdiscrete associated kernelcount regression function

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Density estimation (62G07) Bayesian inference (62F15)

Related Items (4)

Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions ⋮ Bayesian inference in based-kernel regression: comparison of count data of condition factor of fish in pond systems ⋮ A Bayesian procedure for bandwidth selection in circular kernel density estimation ⋮ Bayesian approach to bandwidth selection for multivariate count regression function estimation by associated discrete kernel

Uses Software

• Disake

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