High-dimensional statistics
In statistical theory, the field of high-dimensional statistics studies data whose dimension is larger than typically considered in classical multivariate analysis. The area arose owing to the emergence of many modern data sets in which the dimension of the data vectors may be comparable to, or even larger than, the sample size, so that justification for the use of traditional techniques, often based on asymptotic arguments with the dimension held fixed as the sample size increased, was lacking.
Anima AnandkumarBubacarr BahCluster analysisCyTOFElizaveta LevinaFlorentina BuneaHigh-dimensional dataHigh dimensional dataHigh dimensional statisticsJianqing FanLeast-angle regressionLi Cai (psychometrician)Lily WangList of statistics articlesMultilinear subspace learningPrincipal component analysisPrincipal component regressionRichard SamworthSofia OlhedeT. Tony CaiŠidák correction for t-test
Link from a Wikipage to another Wikipage
known for
primaryTopic
High-dimensional statistics
In statistical theory, the field of high-dimensional statistics studies data whose dimension is larger than typically considered in classical multivariate analysis. The area arose owing to the emergence of many modern data sets in which the dimension of the data vectors may be comparable to, or even larger than, the sample size, so that justification for the use of traditional techniques, often based on asymptotic arguments with the dimension held fixed as the sample size increased, was lacking.
has abstract
In statistical theory, the fie ...... e size increased, was lacking.
@en
Wikipage page ID
19,330,658
page length (characters) of wiki page
Wikipage revision ID
1,025,220,291
Link from a Wikipage to another Wikipage
wikiPageUsesTemplate
comment
In statistical theory, the fie ...... e size increased, was lacking.
@en
label
High-dimensional statistics
@en