LocalL-estimators for nonparametric regression under dependence
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Publication:3432398
DOI10.1080/10485259408832603zbMath1380.62206OpenAlexW1969722625WikidataQ126250343 ScholiaQ126250343MaRDI QIDQ3432398
Graciela Boente, Ricardo Fraiman
Publication date: 16 April 2007
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485259408832603
Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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Cites Work
- Unnamed Item
- Nonparametric regression estimation under mixing conditions
- Asymptotic distribution of robust estimators for nonparametric models from mixing processes
- Asymptotic normality of some kernel-type estimators of probability density
- Some mixing properties of time series models
- Conditional empirical processes
- Nonparametric function estimation involving time series
- Consistent nonparametric regression. Discussion
- Asymptotic normality of generalized functional estimators dependent on covariables
- Robust nonparametric regression estimation for dependent observations
- Asymptotic distribution of smoothers based on local means and local medians under dependence
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- NONPARAMETRIC ESTIMATORS FOR TIME SERIES
- Linear Functions of Concomitants of Order Statistics with Application to Nonparametric Estimation of a Regression Function
- Strong Uniform Convergence Rates for Some Robust Equivariant Nonparametric Regression Estimates for Mixing Processes