• Corpus ID: 236987132

Registration for Incomplete Non-Gaussian Functional Data

@inproceedings{Bauer2021RegistrationFI,
  title={Registration for Incomplete Non-Gaussian Functional Data},
  author={Alexander Bauer and Fabian Scheipl and Helmut Kuchenhoff and Alice‐Agnes Gabriel},
  year={2021}
}
Accounting for phase variability is a critical challenge in functional data analysis. To separate it from amplitude variation, functional data are registered, i.e., their observed domains are deformed elastically so that the resulting functions are aligned with template functions. At present, most available registration approaches are limited to datasets of complete and densely measured curves with Gaussian noise. However, many real-world functional data sets are not Gaussian and contain… 

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