scientific article; zbMATH DE number 7765987
zbMath1527.62059MaRDI QIDQ6087695
Omar Fetitah, Mohammed Attouch, Salah Khardani, Ali Righi
Publication date: 16 November 2023
Full work available at URL: https://www.soche.cl/chjs/volumes/12/ChJS-12-02-02.pdf#vol12-number2-2021
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
censored datanonparametric estimationfunctional data analysismean square relative erroralmost surely convergence\(\alpha\)-mixing data
Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10) Nonparametric robustness (62G35)
Cites Work
- Unnamed Item
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- Unnamed Item
- Unnamed Item
- Unnamed Item
- Relative-error prediction in nonparametric functional statistics: theory and practice
- Nonparametric relative regression for associated random variables
- Relative error prediction via kernel regression smoothers
- Curves discrimination: a nonparametric functional approach
- Identities for negative moments of quadratic forms in normal variables
- Interpolation of spatial data. Some theory for kriging
- Relative-error prediction
- The functional central limit theorem for strongly mixing processes
- Recursive estimation of nonparametric regression with functional covariate
- Nonparametric relative error regression for spatial random variables
- Kernel density estimator in an infinite-dimensional space with a rate of convergence in the case of diffusion process.
- Functional limit laws for the increments of Kaplan-Meier product-limit processes and applications
- Functional nonparametric model for time series: a fractal approach for dimension reduction
- Functional local linear estimate for functional relative-error regression
- Consistent estimation under random censorship when covariables are present
- Functional data analysis.
- Nonparametric regression estimation for dependent functional data: asymptotic normality
- Nonparametric functional data analysis. Theory and practice.
- Outliers in multivariate time series
- Non Parametric Regression Quantile Estimation for Dependent Functional Data under Random Censorship: Asymptotic Normality
- Strong consistency result of a non parametric conditional mode estimator under random censorship for functional regressors
- Kernel conditional quantile estimator under left truncation for functional regressors
- On nonparametric estimation of the regression function under random censorship model
- Recursive probability density estimation for weakly dependent stationary processes
- Linear regression with censored data
- Functional data analysis: estimation of the relative error in functional regression under random left-truncation model
- Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
- Strong convergence of the functional nonparametric relative error regression estimator under right censoring
- Randomly censored quantile regression estimation using functional stationary ergodic data
- Asymptotic Distribution of Robust Estimator for Functional Nonparametric Models
- NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS
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