We propose a family of robust nonparametric estimators for regression function based on kernel method. We establish the asymptotic normality of the estimator under the concentration properties on small balls of the probability measure of the functional explanatory dependent variables.
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Attouch, M., Laksaci, A., Ould-Saïd, E. (2008). Asymptotic Normality of Robust Nonparametric Estimator for Functional Dependent Data. In: Functional and Operatorial Statistics. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2062-1_5
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DOI: https://doi.org/10.1007/978-3-7908-2062-1_5
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-2061-4
Online ISBN: 978-3-7908-2062-1
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