Evaluating fit in functional data analysis using model embeddings

Abstract

The author proposes a general method for evaluating the fit of a model for functional data. His approach consists of embedding the proposed model into a larger family of models, assuming the true process generating the data is within the larger family, and then computing a posterior distribution for the Kullback-Leibler distance between the true and the… (More)

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Cite this paper

@inproceedings{Viele2001EvaluatingFI, title={Evaluating fit in functional data analysis using model embeddings}, author={Kert Viele}, year={2001} }