FDA: theoretical and practical efficiency of the local linear estimation based on the kNN smoothing of the conditional distribution when there are missing data-Reference-Cited by-同舟云学术

FDA: theoretical and practical efficiency of the local linear estimation based on the kNN smoothing of the conditional distribution when there are missing data

Published:2020-03-10 Issue:8 Volume:90 Page:1479-1495
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Rachdi Mustapha¹^ORCID,Laksaci Ali²³,Almanjahie Ibrahim M.²³,Chikr-Elmezouar Zouaoui²³

Affiliation:

1. Univ. Grenoble Alpes, Grenoble Cedex 09, France

2. Department of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia

3. Statistical Research and Studies Support Unit, King Khalid University, Abha, Saudi Arabia

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1732378

Reference33 articles.

1. Linear Processes in Function Spaces

2. Functional Data Analysis

3. Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modal Interval Regression Based on Spline Quantile Regression;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2023-02-01

2. The $k$ Nearest Neighbors local linear estimator of functional conditional density when there are missing data;Hacettepe Journal of Mathematics and Statistics;2022-12-31

3. High dimensional statistics: Quadratic error in the local linear estimation of the relative regression;Bulletin of the Institute of Mathematics Academia Sinica NEW SERIES;2022-06-01

4. Non parametric estimations of the conditional density and mode when the regressor and the response are curves;Communications in Statistics - Theory and Methods;2021-11-11

5. Curves Classification by Using a Local Likelihood Function and Its Practical Usefulness for Real Data;Fuzzy Systems and Data Mining VI;2020-11-09