On higher order kernels
From MaRDI portal
Publication:3837411
DOI10.1080/10485259508832644zbMath0871.62038OpenAlexW2005512060MaRDI QIDQ3837411
Publication date: 8 December 1996
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485259508832644
local polynomial fittingkernel smoothingdensity estimationhigher order kernelsGaussian-based kernelsadditive bias correctionsestimation of second derivatives
Related Items
Bias reduction by transformed flat-top Fourier series estimator of density on compact support, Some results about kernel estimators for function derivatives based on stationary and ergodic continuous time processes with applications, On the variable bandwidth kernel estimation of conditional \(U\)-statistics at optimal rates in sup-norm, General tests of conditional independence based on empirical processes indexed by functions, Additive regression model for stationary and ergodic continuous time processes, Statistical tests in the partially linear additive regression models, Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes, Local linear density estimation for filtered survival data, with bias correction, Smoothed empirical likelihood confidence intervals for the relative distribution with left-truncated and right-censored data, Using small bias nonparametric density estimators for confidence interval estimation, Some uniform consistency results in the partially linear additive model components estimation, Adaptive bandwidth choice, Multivariate density estimation with general flat-top kernels of infinite order, Multivariate wavelet density and regression estimators for stationary and ergodic continuous time processes: asymptotic results
Uses Software
Cites Work
- Unnamed Item
- Spline smoothing: The equivalent variable kernel method
- Canonical kernels for density estimation
- Exact mean integrated squared error
- Variable bandwidth and local linear regression smoothers
- Consistent nonparametric regression. Discussion
- Multivariate locally weighted least squares regression
- Smooth estimators of distribution and density functions
- Generalized jackknifing and higher order kernels
- Bandwidth choice and confidence intervals for derivatives of noisy data
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Optimizing Kernel Methods: A Unifying Variational Principle
- Design-adaptive Nonparametric Regression
- Improvement of Kernel Type Density Estimators
- Confidence Bands in Nonparametric Regression
- On kernel density derivative estimation
- On Estimation of a Probability Density Function and Mode