Local inference on functional data based on the control of the family-wise error rate

Alessia Pini, K. Abramowicz, L. Schelin, S. Sjöstedt de Luna, A. Stamm, S. Vantini

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

In this work we focus on the problem of local inference for functional data. We describe a unified framework for testing hypotheses on functional data in a local perspective. The result of the testing procedures within the unified framework is an adjusted p-value function that can be used to select the areas of the domain responsible for the rejection of the null hypothesis. We discuss how different state of the art inferential procedures fall within the framework, and briefly describe a novel testing procedure with sound theoretical properties.
Lingua originaleEnglish
Titolo della pubblicazione ospiteStatistics for Smart Applications Book of short papers SIS 2019
Pagine623-628
Numero di pagine6
Stato di pubblicazionePubblicato - 2019
Eventosmart statistics for smart applications SIS 2019 - Milano
Durata: 19 giu 201921 giu 2019

Convegno

Convegnosmart statistics for smart applications SIS 2019
CittàMilano
Periodo19/6/1921/6/19

Keywords

  • nonparametric inference, functional data analysis, family-wise error rate

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