On multivariate associated kernels to estimate general density functions
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Publication:684068
DOI10.1016/j.jkss.2017.10.002zbMath1390.62055arXiv1502.01173OpenAlexW2770743746MaRDI QIDQ684068
Célestin C. Kokonendji, Sobom M. Somé
Publication date: 9 February 2018
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1502.01173
boundary biasnonparametric estimationcorrelation structureasymmetric kernelbandwidth matrixmode-dispersion
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Uses Software
Cites Work
- Unnamed Item
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- Beta kernel estimators for density functions
- Nonparametric estimation of regression functions with both categorical and continuous data
- Performance of discrete associated kernel estimators through the total variation distance
- Frontier estimation with kernel regression on high order moments
- Kernel density estimation on the rotation group and its application to crystallographic texture analysis
- Construction of multivariate dispersion models
- Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices
- Dispersion models for geometric sums
- Discrete associated kernels method and extensions
- A note on the performance of the gamma kernel estimators at the boundary
- Linear boundary kernels for bivariate density estimation
- Nonparametric density estimation for multivariate bounded data
- Multivariate locally adaptive density estimation.
- Discrete dispersion models and their Tweedie asymptotics
- Nonparametric kernel density estimation near the boundary
- Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation
- Nonnegative bias reduction methods for density estimation using asymmetric kernels
- Kernel smoothers and bootstrapping for semiparametric mixed effects models
- A Bayesian approach to bandwidth selection in univariate associate kernel estimation
- Effects of associated kernels in nonparametric multiple regressions
- Kernel density estimation for directional-linear data
- UNCONSTRAINED PILOT SELECTORS FOR SMOOTHED CROSS-VALIDATION
- Asymptotics for general multivariate kernel density derivative estimators
- Inference For Autocorrelations Under Weak Assumptions
- Binomial kernel and Bayes local bandwidth in discrete function estimation
- Vec and vech operators for matrices, with some uses in jacobians and multivariate statistics
- Multivariate binary discrimination by the kernel method
- Properties and applications of the sarmanov family of bivariate distributions
- Bayesian adaptive bandwidth selector for multivariate discrete kernel estimator
- Comparison of Smoothing Parameterizations in Bivariate Kernel Density Estimation
- Discrete triangular distributions and non-parametric estimation for probability mass function
- Probability density function estimation using gamma kernels
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