Index Models for Sparsely Sampled Functional Data

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چکیده

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Index Models for Sparsely Sampled Functional Data

The regression problem involving functional predictors has many important applications and a number of functional regression methods have been developed. However, a common complication in functional data analysis is one of sparsely observed curves, that is predictors that are observed, with error, on a small subset of the possible time points. Such sparsely observed data induces an errors-in-va...

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ژورنال

عنوان ژورنال: Journal of the American Statistical Association

سال: 2015

ISSN: 0162-1459,1537-274X

DOI: 10.1080/01621459.2014.931859