Asymptotic results of semi-functional partial linear regression estimate under functional spatial dependency
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Publication:5104521
DOI10.1080/03610926.2020.1871021OpenAlexW3122717059MaRDI QIDQ5104521
M. Benallou, Mohammed Attouch, Omar Fetitah, Tawfik Benchikh
Publication date: 14 September 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1871021
Uses Software
Cites Work
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- An introduction to recent advances in high/infinite dimensional statistics
- On spatial conditional mode estimation for a functional regressor
- Automatic estimation procedure in partial linear model with functional data
- Kernel density estimation on random fields
- Kernel density estimation for random fields. (Density estimation for random fields)
- Semi-functional partially linear regression model with responses missing at random
- Kernel spatial density estimation in infinite dimension space
- \(k\)NN estimation in functional partial linear modeling
- Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density
- Spatial mode estimation for functional random fields with application to bioturbation problem
- Nonparametric time series prediction: A semi-functional partial linear modeling
- Functional data analysis.
- Semi-functional partial linear regression
- Nonparametric functional data analysis. Theory and practice.
- Estimation in semiparametric spatial regression
- Functional partial linear model
- Nonparametric modelling for functional data: selected survey and tracks for future
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
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