Local-Likelihood Transformation Kernel Density Estimation for Positive Random Variables
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Publication:3391163
DOI10.1080/10618600.2018.1424636OpenAlexW2275676790MaRDI QIDQ3391163
Publication date: 28 March 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1602.04862
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- Probit transformation for kernel density estimation on the unit interval
- Local multiplicative bias correction for asymmetric kernel density estimators
- Convolution power kernels for density estimation
- Varying kernel density estimation on \(\mathbb R_+\)
- Probit transformation for nonparametric kernel estimation of the copula density
- A note on the performance of the gamma kernel estimators at the boundary
- Density estimation using asymmetric kernels and Bayes bandwidths with censored data
- Large sample optimality of least squares cross-validation in density estimation
- An asymptotically optimal window selection rule for kernel density estimates
- Multivariate k-nearest neighbor density estimates
- Mixing: Properties and examples
- Bias reduction in kernel density estimation by smoothed empirical transformations
- Local likelihood density estimation
- Locally parametric nonparametric density estimation
- On automatic boundary corrections
- Nonparametric kernel density estimation near the boundary
- Nonnegative bias reduction methods for density estimation using asymmetric kernels
- Bump hunting with non-Gaussian kernels
- Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data
- On local likelihood density estimation
- Local likelihood density estimation on random fields
- Smoothing methods in statistics
- Bandwidth selection: Classical or plug-in?
- A gamma kernel density estimation for insurance loss data
- Re-formulation of inverse Gaussian, reciprocal inverse Gaussian, and Birnbaum-Saunders kernel estimators
- On local likelihood density estimation when the bandwidth is large
- Weighted log-normal kernel density estimation
- Large sample results for varying kernel regression estimates
- Nonlinear Regression with Dependent Observations
- NONPARAMETRIC ESTIMATORS FOR TIME SERIES
- Incorporating support constraints into nonparametric estimators of densities
- Density Estimation and Suicide Risks in Psychiatric Treatment
- Transformations in Density Estimation
- A Class of Local Likelihood Methods and Near-Parametric Asymptotics
- Normalité asymptotique de l'estimateur par polynômes locaux de la densité et ses dérivées pour des processus réels et mélangeants
- Asymptotic moments of near–neighbour distance distributions
- Relative Efficiencies of Kernel and Local Likelihood Density Estimators
- CONSISTENCY OF ASYMMETRIC KERNEL DENSITY ESTIMATORS AND SMOOTHED HISTOGRAMS WITH APPLICATION TO INCOME DATA
- Density estimation using inverse and reciprocal inverse Gaussian kernels
- Family of the generalised gamma kernels: a generator of asymmetric kernels for nonnegative data
- An Improved Transformation-Based Kernel Estimator of Densities on the Unit Interval
- A generalized reflection method of boundary correction in kernel density estimation
- Modeling Hidden Exposures in Claim Severity Via the Em Algorithm
- Probability density function estimation using gamma kernels