The aim of this paper is to study a semi-functional partial linear regression model. The estimators are constructed by $k$-nearest neighbors local linear method. Some asymptotic results are established for an i.i.d sample under certain conditions, including asymptotic normality of the parametric component and the almost certain convergence (with rate) of the non-parametric component. Lastly, using cross-validation, the performances of our estimation method are presented on simulated data and on real data by comparing them with other known approaches for semi-functional partial linear regression models.
Functional data analysis partial linear regression {\it k}NN estimation local linear estimation asymptotic normality
ATRST,
PRFU, C00L03UN220120220002
PRFU, C00L03UN220120220002
Primary Language | English |
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Subjects | Statistics |
Journal Section | Statistics |
Authors | |
Project Number | PRFU, C00L03UN220120220002 |
Early Pub Date | March 11, 2024 |
Publication Date | April 23, 2024 |
Published in Issue | Year 2024 Volume: 53 Issue: 2 |