Note on Mean Vector Testing for High-Dimensional Dependent Observations

dc.contributor.authorCho, Seonghun
dc.contributor.authorLim, Johan
dc.contributor.authorAyyala, Deepak Nag
dc.contributor.authorPark, Junyong
dc.contributor.authorRoy, Anindya
dc.date.accessioned2019-09-24T14:47:29Z
dc.date.available2019-09-24T14:47:29Z
dc.date.issued2019-04-19
dc.description.abstractFor the mean vector test in high dimension, Ayyala et al.(2017,153:136-155) proposed new test statistics when the observational vectors are M dependent. Under certain conditions, the test statistics for one-same and two-sample cases were shown to be asymptotically normal. While the test statistics and the asymptotic results are valid, some parts of the proof of asymptotic normality need to be corrected. In this work, we provide corrections to the proofs of their main theorems. We also note a few minor discrepancies in calculations in the publication.en
dc.description.urihttps://arxiv.org/abs/1904.09344en
dc.format.extent13 pagesen
dc.genrejournal article preprintsen
dc.identifierdoi:10.13016/m2fdvl-szks
dc.identifier.citationSeonghun Cho, et.al, Note on Mean Vector Testing for High-Dimensional Dependent Observations, Mathematics, Statistics Theory, 2019, https://arxiv.org/abs/1904.09344en
dc.identifier.urihttp://hdl.handle.net/11603/14596
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjecthigh dimensionen
dc.subjectmean vector testingen
dc.subjectasymptoticsen
dc.titleNote on Mean Vector Testing for High-Dimensional Dependent Observationsen
dc.typeTexten

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