On semiparametric regression in functional data analysis

Article Properties
Abstract
Cite
Ling, Nengxiang, and Philippe Vieu. “On Semiparametric Regression in Functional Data Analysis”. WIREs Computational Statistics, vol. 13, no. 6, 2020, https://doi.org/10.1002/wics.1538.
Ling, N., & Vieu, P. (2020). On semiparametric regression in functional data analysis. WIREs Computational Statistics, 13(6). https://doi.org/10.1002/wics.1538
Ling, Nengxiang, and Philippe Vieu. “On Semiparametric Regression in Functional Data Analysis”. WIREs Computational Statistics 13, no. 6 (2020). https://doi.org/10.1002/wics.1538.
Ling N, Vieu P. On semiparametric regression in functional data analysis. WIREs Computational Statistics. 2020;13(6).
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
Title Journal Journal Categories Citations Publication Date
Rate of uniform consistency for nonparametric of the conditional quantile estimate with functional variables in the single functional index model 2017
On strong uniform consistency of conditional hazard function in the functional single‐index model 2016
Strong uniform consistency rates of conditional quantiles for time series data in the single functional index model 2015
Necessary and sufficient conditions for consistency of a method for smoothed functional inverse regression 2010
Choix optimal de l'indice multi‐fonctionnel: Méthode de validation croisée (in French) 2010
Citations
Title Journal Journal Categories Citations Publication Date
Local linear-$k$NN smoothing for semi-functional partial linear regression

 Hacettepe Journal of Mathematics and Statistics 2024
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 2 2023
Functional Nonparametric Predictions in Food Industry Using Near-Infrared Spectroscopy Measurement Computers, Materials & Continua 2 2023
Local Correlation Integral Approach for Anomaly Detection Using Functional Data

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Citations Analysis
Category Category Repetition
Science: Mathematics4
Science: Mathematics: Probabilities. Mathematical statistics3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
The category Science: Mathematics 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A new algorithm for fitting semi-parametric variance regression models and was published in 2021. The most recent citation comes from a 2024 study titled Local linear-$k$NN smoothing for semi-functional partial linear regression. This article reached its peak citation in 2023, with 4 citations. It has been cited in 5 different journals, 20% of which are open access. Among related journals, the Computational Statistics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year