Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions
From MaRDI portal
Publication:334835
DOI10.1016/j.jkss.2016.04.001zbMath1348.62115OpenAlexW2342960215MaRDI QIDQ334835
Célestin C. Kokonendji, Nabil Zougab, Smail Adjabi, Nawal Belaid
Publication date: 1 November 2016
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2016.04.001
Related Items (9)
Multiplicative bias correction for discrete kernels ⋮ Discrete multivariate associated kernel estimators using two multiplicative bias correction methods ⋮ Bayesian local bandwidths in a flexible semiparametric kernel estimation for multivariate count data with diagnostics ⋮ Bayesian Selection of Adaptive Bandwidth in Non-homogeneous Poisson Process Kernel Estimators for the Intensity Function ⋮ A Bayesian procedure for bandwidth selection in circular kernel density estimation ⋮ Bayesian adaptive bandwidth selector for multivariate discrete kernel estimator ⋮ Asymptotic properties of Dirichlet kernel density estimators ⋮ Bayesian variance-stabilizing kernel density estimation using conjugate prior ⋮ Bayesian approach to bandwidth selection for multivariate count regression function estimation by associated discrete kernel
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric estimation of regression functions with both categorical and continuous data
- Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions
- On semiparametric regression for count explanatory variables
- Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices
- Discrete associated kernels method and extensions
- Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data
- A Bayesian approach to bandwidth selection for multivariate kernel density estimation
- Density estimation using asymmetric kernels and Bayes bandwidths with censored data
- Nonparametric density estimation for multivariate bounded data
- Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation
- Smoothing methods in statistics
- Multivariate plug-in bandwidth selection
- Semiparametric estimation for count data through weighted distributions
- A Bayesian approach to bandwidth selection in univariate associate kernel estimation
- UNCONSTRAINED PILOT SELECTORS FOR SMOOTHED CROSS-VALIDATION
- A Bayesian method to estimate the optimal bandwidth for multivariate kernel estimator
- Binomial kernel and Bayes local bandwidth in discrete function estimation
- A class of smooth estimators for discrete distributions
- Multivariate binary discrimination by the kernel method
- Cross-Validation of Multivariate Densities
- Plug-in bandwidth matrices for bivariate kernel density estimation
- The multivariate Poisson-log normal distribution
- Bayesian approach to the choice of smoothing parameter in kernel density estimation
- Adaptive smoothing in associated kernel discrete functions estimation using Bayesian approach
- Discrete triangular distributions and non-parametric estimation for probability mass function
- Cross-validation Bandwidth Matrices for Multivariate Kernel Density Estimation
- Bayes bandwidth selection in kernel density estimation with censored data
This page was built for publication: Bayesian bandwidth selection in discrete multivariate associated kernel estimators for probability mass functions