k-Nearest Neighbour method in functional nonparametric regression
By Florent Burba, Frédéric Ferraty, Philippe Vieu. 2009
162 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/38bc2ff7ed6f75b21b3271307c7eb499ffcb7cf4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
In Statistics and Probability
- Heng Lian
- Nengxiang Ling
- Gery Geenens
- Philippe Vieu
- Peter Hall
- Frédéric Ferraty
- Tomasz Górecki
- M. Febrero–Bande
Citations in the corpus
- Curse of dimensionality and related issues in nonparametric functional regression (2011, background): “[20, 23, 2, 22, 6, 3, 4, 7, 13] or [14] for a few paths in that direction.”
- A survey of functional principal component analysis (2014, unknown): “2 ) L”
- Nonparametric modelling for functional data: selected survey and tracks for future (2018, background): “obtained in [40] for independent data and extended in [41] for dependent ones.”
- Empirical likelihood confidence intervals for nonparametric functional data analysis (2009, unknown): “Nearest neighbor regression appeared in Burba et al. (2009).”
- Convergence of functional k-nearest neighbor regression estimate with functional responses (2011, methodology): “This work can be regarded as an extension of [3] where k-NN method in functional regression with scalar responses is studied.”