Local linear smoothers using inverse Gaussian regression

DOI10.1007/S00362-017-0871-2zbMath1432.62117OpenAlexW2575538323MaRDI QIDQ2010792

Juxia Xiao, Xu Li, Jian-Hong Shi

Publication date: 28 November 2019

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-017-0871-2

zbMATH Keywords

asymptotic normalitylocal linear smoothersboundary correctioninverse Gaussian kerneluniform almost sure consistency

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Linear regression; mixed models (62J05)

Related Items (2)

Adaptive nonparametric regression on finite support ⋮ On mean derivative estimation of longitudinal and functional data: from sparse to dense

Uses Software

• KernSmooth

Cites Work

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• Beta kernel estimators for density functions
• Local multiplicative bias correction for asymmetric kernel density estimators
• Varying kernel density estimation on \(\mathbb R_+\)
• Nonparametric regression analysis of growth curves
• Inverse beta transformation in kernel density estimation
• Optimal rates of convergence for nonparametric estimators
• Consistent nonparametric regression. Discussion
• Kernel density estimation of actuarial loss functions
• Optimal global rates of convergence for nonparametric regression
• Local linear regression smoothers and their minimax efficiencies
• Large sample results for varying kernel regression estimates
• Generalised kernel smoothing for non-negative stationary ergodic processes
• A Look at Some Data on the Old Faithful Geyser
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Transformations in Density Estimation
• CORRECTING FOR KURTOSIS IN DENSITY ESTIMATION
• Design-adaptive Nonparametric Regression
• CONSISTENCY OF ASYMMETRIC KERNEL DENSITY ESTIMATORS AND SMOOTHED HISTOGRAMS WITH APPLICATION TO INCOME DATA
• Density estimation using inverse and reciprocal inverse Gaussian kernels
• Kernel density estimation for heavy-tailed distributions using the champernowne transformation
• Asymptotic results in gamma kernel regression
• Probability density function estimation using gamma kernels

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