Strong convergence of a nonparametric relative error regression estimator under missing data with functional predictors
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42952-024-00275-2.pdf
Reference42 articles.
1. Ait-Hennani, L., Lemdani, M., & Ould-Saïd, E. (2018). Robust regression analysis for a censored response and functional regressors. Journal of Nonparametric Statistics, 31, 1–23. https://doi.org/10.1080/10485252.2018.1546386
2. Altendji, B., Demongeot, J., Laksaci, A., & Rachdi, M. (2018). Functional data analysis: estimation of the relative error in functional regression under random left-truncation model. Journal of Nonparametric Statistics, 30(2), 472–490.
3. Azzedine, N., Laksaci, A., & Ould Saïd, E. (2008). On robust nonparametric regression estimation for a functional regressor. Statistics and Probability Letters, 78, 3216–3221. https://doi.org/10.1016/j.spl.2008.06.018
4. Barrientos Marin, J., Ferraty, F., & Vieu, P. (2010). Locally modelled regression and functional data. Journal of Nonparametric Statistics, 22, 617–632. https://doi.org/10.1080/10485250903089930
5. Bayarassou, N., Hamrani, F., & Ould-Saïd, E. (2023). Nonparametric relative error estimation of the regression function for left truncated and right censored time series data. Journal of Nonparametric Statistics. https://doi.org/10.1080/10485252.2023.2241572
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