Detecting and classifying outliers in big functional data
type: Item
instance of: scholarly article
title: Detecting and classifying outliers in big functional data
author: Oluwasegun Taiwo Ojo
author: Antonio Fernández Anta
author: Carlo Sguera
author: Rosa E. Lillo
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2022-12-09T00:00:00Z
full work available at URL: https://arxiv.org/abs/1912.07287
Mathematics Subject Classification ID: 62R10
Mathematics Subject Classification ID: 62R07
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P99
zbMATH DE Number: 7630557
zbMATH Keywords: outlier detection
zbMATH Keywords: functional data analysis
zbMATH Keywords: MUOD
zbMATH Keywords: semifast-MUOD
zbMATH Keywords: fast-MUOD
describes a project that uses: R
describes a project that uses: Rainbow
describes a project that uses: fdaoutlier
describes a project that uses: adamethods
describes a project that uses: fda.usc
describes a project that uses: fda (R)
describes a project that uses: Rcpp
MaRDI profile type: Publication
OpenAlex ID: W3196382025
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DOI: 10.1007/S11634-021-00460-9
description: scientific article; zbMATH DE number 7630557