We present in this talk a local non-parametric technique for making inference on multiple aspects of functional data simultaneously. The technique provides adjusted multi-aspect p-value functions that can be used to select intervals of the domain imputable for the rejection of a null hypothesis. We show the application of the proposed technique to the functional data analysis of a data set of tongue profiles recorded for a study on Tyrolean, a German dialect spoken in South Tyrol.
Pini, A., Spreafico, L., Vantini, S., Vietti, A., Permutation methods for multi-aspect local inference on functional data, Paper, in Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers, (Milano, 13-15 September 2017), Universitas Studiorum S.r.l. Casa Editrice, Mantova 2017: 1-4 [http://hdl.handle.net/10807/119850]
Permutation methods for multi-aspect local inference on functional data
Pini, Alessia
;
2017
Abstract
We present in this talk a local non-parametric technique for making inference on multiple aspects of functional data simultaneously. The technique provides adjusted multi-aspect p-value functions that can be used to select intervals of the domain imputable for the rejection of a null hypothesis. We show the application of the proposed technique to the functional data analysis of a data set of tongue profiles recorded for a study on Tyrolean, a German dialect spoken in South Tyrol.
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