On pointwise laws of iterated logarithm for estimators of certain conditional functionals
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Publication:4675946
DOI10.1080/10485250512331342425zbMath1065.62061OpenAlexW2140044757MaRDI QIDQ4675946
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Publication date: 6 May 2005
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485250512331342425
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Strong limit theorems (60F15)
Cites Work
- Relative deficiency of kernel type estimators of quantiles
- Asymptotic normality of nearest neighbor regression function estimates
- A law of the iterated logarithm for nonparametric regression function estimators
- On almost sure convergence of conditional empirical distribution functions
- Conditional empirical processes
- Asymptotics of conditional empirical processes
- Strong uniform consistency rates for estimators of conditional functionals
- A law of the logarithm for kernel density estimators
- A smooth conditional quantile estimator and related applications of conditional empirical processes
- A remark on the approximation of the sample DF in the multidimensional case
- A law of the logarithm for kernel quantile density estimators
- Weak convergence of smoothed and nonsmoothed bootstrap quantile estimates
- Non-parametric estimation of the conditional mode
- Laws of the iterated logarithm for nonparametric density estimators
- On Estimation of a Probability Density Function and Mode
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