Differential interval-wise testing for local inference in Sobolev spaces

Alessia Pini, Lorenzo Spreafico, Simone Vantini, Alessandro Vietti

Risultato della ricerca: Contributo in libroChapter


We present a local non-parametric inferential technique - namely, the differential interval-wise testing, or D-IWT - able to test the distributional equality of two samples of functional data embedded in Sobolev spaces. D-IWT can impute differences between the two samples to specific parts of the domain and to specific orders of differentiation. The proposed technique is applied to the functional data analysis of a data set of tongue profiles.
Lingua originaleEnglish
Titolo della pubblicazione ospiteFunctional statistics and related fields
Numero di pagine8
Stato di pubblicazionePubblicato - 2017


  • derivatives
  • domain selection
  • functional data analysis

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