Nonparametric estimation of a class of smooth functions
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Publication:4365359
DOI10.1080/10485259708832718zbMath1127.62326OpenAlexW2059784189MaRDI QIDQ4365359
Ulrich Stadtmüller, Mirosław Pawlak
Publication date: 4 November 1997
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485259708832718
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Cites Work
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- On density estimation in the view of Kolmogorov's ideas in approximation theory
- On the asymptotic mean square error of \(L_ 1\) kernel estimates of smooth functions
- Estimating tails of probability distributions
- Geometrizing rates of convergence. II
- Geometrizing rates of convergence. III
- Nonparametric regression analysis of longitudinal data
- A note on the usefulness of superkernels in density estimation
- Mean square error properties of density estimates
- Approximations via Whittaker's cardinal function
- Mean integrated square error properties of density estimates
- Advanced topics in Shannon sampling and interpolation theory
- On variance function estimation with quadratic forms
- Estimation of Distribution Density Belonging to a Class of Entire Functions
- Five short stories about the cardinal series
- Magnitude of the truncation error in sampling expansions of band-limited signals
- Some comments on Fourier analysis, uncertainty and modeling
- The Shannon sampling theorem—Its various extensions and applications: A tutorial review
- The Influence of Rounding Errors on Some Nonparametric Estimators of a Density and its Derivatives
- Sampling Theory for not Necessarily Band-Limited Functions: A Historical Overview
- Zakai’s Class of Bandlimited Functions and Processes: Its Characterization and Properties
- A Note on Fourier Transforms
- Recovering band-limited signals under noise
- On a Theorem of Ingham
