Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Mathematics & Physics. Prepublication
- Authors
- Hadjer Djeniba; Leulmi Sarra
- Contact information
- Hadjer Djeniba: Mentouri Brothers University Constantine 1, Algeria; ; Leulmi Sarra, MCA Department of Mathematics. Mentouri Brothers University Constantine 1, Algeria; ; OCRID: 0009-0003-4338-3734
- Keywords
- almost complete convergence; functional data; kernel estimator; ecursive estimator; regression function
- Abstract
We introduce novel families of recursive kernel estimators for the regression function of a real response variable given a random variable that takes values in a semimetric space. Then, we investigate the rate of the almost complete convergence, which is stronger than almost sure convergence. A simulation study is conducted to illustrate the performance of the proposed recursive estimators
- Pages
- 506–518
- EDN
- JSJXMY
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/156161
Journal of Siberian Federal University. Mathematics & Physics / Almost Complete Convergence of Functional Regression Estimator: a Recursive Nonparametric Approach
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