Supervised Classification for a Family of Gaussian Functional Models
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Publication:2911678
DOI10.1111/j.1467-9469.2011.00734.xzbMath1246.62155arXiv1004.5031OpenAlexW1957417745WikidataQ58063329 ScholiaQ58063329MaRDI QIDQ2911678
Amparo Baíllo, Antonio Cuevas, Juan Antonio Cuesta-Albertos
Publication date: 1 September 2012
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1004.5031
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Inference from stochastic processes (62M99) Nonparametric inference (62G99)
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Cites Work
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- Equivalence and perpendicularity of Gaussian processes
- On the kernel rule for function classification
- Regression models for functional data by reproducing kernel Hilbert spaces methods
- An extension of Fisher's discriminant analysis for stochastic processes
- Curves discrimination: a nonparametric functional approach
- PLS classification on functional data
- Robust estimation and classification for functional data via projection-based depth notions
- Fast learning rates for plug-in classifiers
- On depth measures and dual statistics. A methodology for dealing with general data
- On the use of the bootstrap for estimating functions with functional data
- Functional PLS logit regression model
- Radon-Nikodym derivatives with respect to measures induced by discontinuous independent-increment processes
- Consistent nonparametric regression. Discussion
- Classifier technology and the illusion of progress
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- On equivalence of Gaussian measures
- Functional Linear Discriminant Analysis for Irregularly Sampled Curves
- k-Nearest Neighbour method in functional nonparametric regression
- On a Numerical Differentiation
- The Topological Support of Gaussian Measure in Banach Space
- Nearest neighbor classification in infinite dimension
- Multilayer Perceptron with Functional Inputs: an Inverse Regression Approach
- Designs for Regression Problems with Correlated Errors
- On Gaussian Measures Equivalent to Wiener Measure
- The elements of statistical learning. Data mining, inference, and prediction
