Permutation methods for multi-aspect local inference on functional data

Alessia Pini; L. Spreafico; S. Vantini; A. Vietti

Permutation methods for multi-aspect local inference on functional data

Alessia Pini^*, L. Spreafico, S. Vantini, A. Vietti

^*Corresponding author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers
Pages	1-4
Number of pages	4
Publication status	Published - 2017
Event	Cladag 2017 Meeting of the Classification and Data Analysis Group - Milano Duration: 13 Sept 2017 → 15 Sept 2017

Conference

Conference	Cladag 2017 Meeting of the Classification and Data Analysis Group
City	Milano
Period	13/9/17 → 15/9/17

Keywords

Functional Data Analysis, Inference, Interval-Wise Error Rate, Derivatives, Articulatory Phonetics

Cite this

@inproceedings{f024fcecab7549cba1b2d058bab30cdd,

title = "Permutation methods for multi-aspect local inference on functional data",

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.",

keywords = "Functional Data Analysis, Inference, Interval-Wise Error Rate, Derivatives, Articulatory Phonetics, Functional Data Analysis, Inference, Interval-Wise Error Rate, Derivatives, Articulatory Phonetics",

author = "Alessia Pini and L. Spreafico and S. Vantini and A. Vietti",

year = "2017",

language = "English",

isbn = "978-88-99459-71-0",

pages = "1--4",

booktitle = "Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers",

note = "Cladag 2017 Meeting of the Classification and Data Analysis Group ; Conference date: 13-09-2017 Through 15-09-2017",

}

TY - GEN

T1 - Permutation methods for multi-aspect local inference on functional data

AU - Pini, Alessia

AU - Spreafico, L.

AU - Vantini, S.

AU - Vietti, A.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Functional Data Analysis, Inference, Interval-Wise Error Rate, Derivatives, Articulatory Phonetics

UR - http://hdl.handle.net/10807/119850

M3 - Conference contribution

SN - 978-88-99459-71-0

SP - 1

EP - 4

BT - Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers

T2 - Cladag 2017 Meeting of the Classification and Data Analysis Group

Y2 - 13 September 2017 through 15 September 2017

ER -

Permutation methods for multi-aspect local inference on functional data

Abstract

Conference

Keywords

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