Linear Regression Models for Functional Data
作者： Hervé Cardot , Pascal Sarda
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摘要: This paper addresses a specific case of regression analysis: the predictor is random curve and response scalar. We consider three models: functional linear model, generalized model on quantiles. Spline functions are used to build estimators which minimize penalized criterion. The method illustrated by means real data examples. Then, we give asymptotics results for these estimators.
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