PLS classification on functional data. (English) Zbl 1196.62086
Linear discriminant analysis (LDA) is considered when the predictor is of functional type (\(L_2\) stochastic process). The partial least squares (PLS) approach is used for dimension reduction before LDA. Estimates of the discriminant coefficient functions and discriminant scores are proposed. Results of simulations and applications to kneading data are presented.
Reviewer: R. E. Maiboroda (Kyïv)
MSC:
| 62H30 | Classification and discrimination; cluster analysis (statistical aspects) |
| 62-08 | Computational methods for problems pertaining to statistics |
| 62M99 | Inference from stochastic processes |
Software:
fda (R)References:
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