Bayesian approach to bandwidth selection for multivariate count regression function estimation by associated discrete kernel
Author:
Affiliation:
1. Laboratory LAMOS, University of Bejaia, Bejaia, Targa Ouzermour, Algeria
2. Department of Mathematics, Faculty of Sciences, University of Tizi-Ouzou, Tizi-Ouzou, Algeria
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/15598608.2017.1281180
Reference19 articles.
1. On semiparametric regression for count explanatory variables
2. Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions
3. Bayesian Data Analysis
4. Optimal Bandwidth Selection in Nonparametric Regression Function Estimation
5. Monte Carlo sampling methods using Markov chains and their applications
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1. Bayesian approach to smoothing parameter selection in spline estimate for regression curve;International Journal of Computing Science and Mathematics;2020
2. Discrete multivariate associated kernel estimators using two multiplicative bias correction methods;Communications in Statistics - Simulation and Computation;2019-08-18
3. Bayesian Variance-Stabilizing Kernel Density Estimation Using Conjugate Prior;Journal of Mathematical Sciences;2019-02-09
4. Semiparametric multiple kernel estimators and model diagnostics for count regression functions;Communications in Statistics - Theory and Methods;2019-02-05
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