1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFilzmoser, Peter-
dc.contributor.authorLubbe, Sugnet-
dc.contributor.authorTempl, Matthias-
dc.date.accessioned2021-03-14T11:22:18Z-
dc.date.available2021-03-14T11:22:18Z-
dc.date.issued2020-11-07-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/21997-
dc.description.abstractModern applications in chemometrics and bioinformatics result in compositional data sets with a high proportion of zeros. An example are microbiome data, where zeros refer to measurements below the detection limit of one count. When building statistical models, it is important that zeros are replaced by sensible values. Different replacement techniques from compositional data analysis are considered and compared by a simulation study and examples. The comparison also includes a recently proposed method [1] based on deep learning. Detailed insights into the appropriateness of the methods for a problem at hand are provided, and differences in the outcomes of statistical results are discussed.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectCompositional datade_CH
dc.subjectBiomic datade_CH
dc.subjectHigh-dimensional datade_CH
dc.subjectRounded zerosde_CH
dc.subjectImputationde_CH
dc.subjectReplacementde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleStrategies to replace high proportions of zeros in compositional datade_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.conference.details1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.webfeedStatistik und Quantitative Financede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.
Show simple item record
Filzmoser, P., Lubbe, S., & Templ, M. (2020, November 7). Strategies to replace high proportions of zeros in compositional data. 1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020.
Filzmoser, P., Lubbe, S. and Templ, M. (2020) ‘Strategies to replace high proportions of zeros in compositional data’, in 1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020.
P. Filzmoser, S. Lubbe, and M. Templ, “Strategies to replace high proportions of zeros in compositional data,” in 1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020, Nov. 2020.
FILZMOSER, Peter, Sugnet LUBBE und Matthias TEMPL, 2020. Strategies to replace high proportions of zeros in compositional data. In: 1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020. Conference presentation. 7 November 2020
Filzmoser, Peter, Sugnet Lubbe, and Matthias Templ. 2020. “Strategies to Replace High Proportions of Zeros in Compositional Data.” Conference presentation. In 1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020.
Filzmoser, Peter, et al. “Strategies to Replace High Proportions of Zeros in Compositional Data.” 1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020, 2020.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.