Consistent nonparametric regression: Some generalizations in the fixed design case

DOI10.1080/10485259308832553zbMath1360.62127OpenAlexW2004910381MaRDI QIDQ3432343

Dimitrios Ioannides

Publication date: 16 April 2007

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485259308832553

zbMATH Keywords

strong consistencyregression functionnonparametric estimationpointwise and uniform convergence

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items (3)

On sufficient conditions for the consistency of local linear kernel estimators ⋮ Towards Insensitivity of Nadaraya--Watson Estimators to Design Correlation ⋮ About the Nonparametric Estimation of the Bernoulli Regression

Cites Work

• Fitting a multiple regression function
• Nonparametric function recovering from noisy observations
• Estimation of heteroscedasticity in regression analysis
• Consistent nonparametric multiple regression: the fixed design case
• Asymptotic properties of the multivariate Nadaraya-Watson regression function estimate: The fixed design case
• Fixed design regression for time series: Asymptotic normality
• Optimal global rates of convergence for nonparametric regression
• Almost certain convergence in double arrays
• Kernel Regression Estimation Using Repeated Measurements Data
• Nonparametric estimation of a regression function

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