Consistency of modified kernel regression estimation for functional data
From MaRDI portal
Publication:2892890
DOI10.1080/02331888.2010.500077zbMath1241.62056OpenAlexW2035540463WikidataQ34163098 ScholiaQ34163098MaRDI QIDQ2892890
Publication date: 25 June 2012
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2010.500077
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)
Related Items
Recursive estimation of nonparametric regression with functional covariate ⋮ Modified kernel regression estimation with functional time series data ⋮ Uniform convergence of estimator for nonparametric regression with dependent data ⋮ Weighted estimation of conditional mean function with truncated, censored and dependent data ⋮ Consistency of the recursive nonparametric regression estimation for dependent functional data ⋮ Nonparametric modelling for functional data: selected survey and tracks for future ⋮ Uniform consistency rate of kNN regression estimation for functional time series data
Cites Work
- Nonparametric function estimation for time series by local average estimators
- Regression models for functional data by reproducing kernel Hilbert spaces methods
- Nonparametric regression estimation under mixing conditions
- On the almost everywhere convergence of nonparametric regression function estimates
- Fixed design regression for time series: Asymptotic normality
- Functional data analysis
- The functional nonparametric model and applications to spectrometric data
- Applied functional data analysis. Methods and case studies
- A distribution-free theory of nonparametric regression
- Functional nonparametric model for time series: a fractal approach for dimension reduction
- Nonparametric regression estimation for dependent functional data: asymptotic normality
- Nonparametric functional data analysis. Theory and practice.
- Weak and strong uniform consistency of kernel regression estimates
- Nonparametric Estimation of the Mode of A Distribution of Random Curves
- Linear functional regression: The case of fixed design and functional response
- Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination