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Communication Dans Un Congrès Année : 2007

Linear methods for regression and classification with functional data

Résumé

Functional data occurs when we observe curves or paths from a stochastic process Xt . If for each curve or path we have a single response variable Y, we have a regression problem when Y is numerical, a classification problem when Y is categorical. We assume here that all trajectories are observed continuously on a time interval [0;T] and that the variables Y (when numerical) and Xt have zero mean.
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hal-01125332 , version 1 (13-03-2020)

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  • HAL Id : hal-01125332 , version 1

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Gilbert Saporta, Damiana Costanzo, Cristian Preda. Linear methods for regression and classification with functional data. IASC-ARS'07 special Conf., Jan 2007, Séoul, South Korea. ⟨hal-01125332⟩
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