Nonparametric regression on contaminated functional predictor with application to hyperspectral data

Autor: Anthony Zullo, Frédéric Ferraty, Mathieu Fauvel

Publikováno v: Econometrics and Statistics
Econometrics and Statistics, Elsevier, 2019, 9, pp.95-107. ⟨10.1016/j.ecosta.2017.02.004⟩
Econometrics and Statistics, 2019, 9, pp.95-107. ⟨10.1016/j.ecosta.2017.02.004⟩

Regressing nonparametrically a scalar response on a contaminated random curve observed at some measurement grid may be a hard task. To address this common statistical situation, a kernel presmoothing step is achieved on the noisy functional predictor

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https://hal.archives-ouvertes.fr/hal-01605940

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Methods for scalar-on-function regression.

Autor: Reiss PT; Department of Child and Adolescent Psychiatry and Department of Population Health, New York University School of Medicine.; Department of Statistics, University of Haifa., Goldsmith J; Department of Biostatistics, Columbia University Mailman School of Public Health., Shang HL; Research School of Finance, Actuarial Studies and Statistics, Australian National University., Ogden RT; Department of Biostatistics, Columbia University Mailman School of Public Health.; New York State Psychiatric Institute.

Publikováno v: International statistical review = Revue internationale de statistique [Int Stat Rev] 2017 Aug; Vol. 85 (2), pp. 228-249. Date of Electronic Publication: 2016 Feb 23.