LEADER 02078nam0 22004933i 450 001 VAN0277448 005 20240712021913.285 017 70$2N$a9783030737924 100 $a20240610d2022 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aFundamentals of High-Dimensional Statistics$eWith Exercises and R Labs$fJohannes Lederer 210 $aCham$cSpringer$d2022 215 $axiv, 355 p.$cill.$d24 cm 410 1$1001VAN0036791$12001 $aSpringer texts in statistics$1210 $aBerlin [etc.]$cSpringer$d1985- 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62H22$xProbabilistic graphical models [MSC 2020]$3VANC037883$2MF 606 $a62J07$xRidge regression; shrinkage estimators (Lasso) [MSC 2020]$3VANC031204$2MF 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$3VANC026514$2MF 610 $aCalibration$9KW:K 610 $aEstimation$9KW:K 610 $aGraphical Models$9KW:K 610 $aHigh dimensional inference$9KW:K 610 $aHigh-Dimensional Data$9KW:K 610 $aHigh-dimensional statistics$9KW:K 610 $aLasso$9KW:K 610 $aLinear regression$9KW:K 610 $aPrediction$9KW:K 610 $aR labs$9KW:K 610 $aRegularization$9KW:K 610 $aSparsity$9KW:K 610 $aStatistical inference$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aLederer$bJohannes$3VANV229909$01076955 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240719$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-73792-4$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0277448 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-Book 8734 $e08eMF8734 20240618 996 $aFundamentals of High-Dimensional Statistics$92588386 997 $aUNICAMPANIA