Nonparametric recursive method for generalized kernel estimators for dependent functional data
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Publication:6123496
DOI10.1007/s13171-023-00325-7OpenAlexW4386846786MaRDI QIDQ6123496
Publication date: 4 March 2024
Published in: Sankhyā. Series A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s13171-023-00325-7
Nonparametric regression and quantile regression (62G08) Numerical smoothing, curve fitting (65D10) Nonparametric statistical resampling methods (62G09) Stochastic approximation (62L20)
Cites Work
- Unnamed Item
- Functional linear regression analysis for longitudinal data
- Bootstrap confidence intervals in functional nonparametric regression under dependence
- Partial linear modelling with multi-functional covariates
- Prediction in functional linear regression
- Practical bandwidth selection in deconvolution kernel density estimation
- Estimating some characteristics of the conditional distribution in nonparametric functional models
- Methodology and convergence rates for functional linear regression
- On rigorous mathematical definitions of correlation dimension and generalized spectrum for dimensions
- The functional nonparametric model and applications to spectrometric data
- Applied functional data analysis. Methods and case studies
- Functional linear regression with functional response
- PCA-based estimation for functional linear regression with functional responses
- Optimal bandwidth selection for semi-recursive kernel regression estimators
- Functional nonparametric model for time series: a fractal approach for dimension reduction
- Asymptotic theory of weakly dependent stochastic processes
- Recursive density estimators based on Robbins-Monro's scheme and using Bernstein polynomials
- Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data
- Data-driven \(k\)NN estimation in nonparametric functional data analysis
- Nonparametric time series prediction: A semi-functional partial linear modeling
- Nonparametric regression estimation for dependent functional data: asymptotic normality
- A unified theory of regularly varying sequences
- Combining Registration and Fitting for Functional Models
- On the Validity of the Bootstrap in Non-Parametric Functional Regression
- Approximation Theorems of Mathematical Statistics
- Advances on asymptotic normality in non-parametric functional time series analysis
- Functional Data Analysis with R and MATLAB
- Nonparametric modelling for functional data: selected survey and tracks for future
- Recursive distribution estimator defined by stochastic approximation method using Bernstein polynomials
- Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
- Recursive nonparametric regression estimation for independent functional data
- NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS
- Regularly Varying Sequences
- An empirical process approach to the uniform consistency of kernel-type function estimators
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