LEADER 02334nam0 2200493 i 450 001 VAN0115372 005 20220316120228.582 017 70$2N$a978-3-319-27099-9 100 $a20180306d2016 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aStatistical analysis for high-dimensional data$ethe Abel symposium 2014$fArnoldo Frigessi ... [et al.] editors 210 $aCham$cSpringer$d2016 215 $aXII, 306 p.$cill.$d24 cm 410 1$1001VAN0113665$12001 $aAbel Symposia$1210 $aBerlin [etc.]$cSpringer$v11 500 1$3VAN0243178$aStatistical analysis for high-dimensional data. The Abel symposium 2014$91523641 606 $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$3VANC024649$2MF 606 $a62Hxx$xMultivariate analysis [MSC 2020]$3VANC026440$2MF 606 $a62Jxx$xLinear inference, regression [MSC 2020]$3VANC028385$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 606 $a62F12$xAsymptotic properties of parametric estimators [MSC 2020]$3VANC030772$2MF 606 $a62Fxx$xParametric inference [MSC 2020]$3VANC031220$2MF 610 $aDimension reduction$9KW:K 610 $aFactor models$9KW:K 610 $aHigh dimensional inference$9KW:K 610 $aMultiple testing$9KW:K 610 $aPenelised regression$9KW:K 610 $aSparsity$9KW:K 610 $aStatistical genomics$9KW:K 610 $aStatistical inference in high dimensions$9KW:K 610 $aThresholding$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aFrigessi$bArnoldo$3VANV089281 712 12$aAbel Symposia$d11.$f2014$eKabelvåg, Norway$3VANV089282 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-27099-9$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN0115372 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2515 $e15EB 2515 20180306 996 $aStatistical analysis for high-dimensional data$91523641 997 $aUNICAMPANIA