LEADER 02423nam0 22005173i 450 001 VAN00279517 005 20241120041800.455 017 70$2N$a9783031454646 100 $a20240710d2023 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMarginal and Functional Quantization of Stochastic Processes$fHarald Luschgy, Gilles Pagès 210 $aCham$cSpringer$d2023 215 $axviii, 912 p.$cill.$d24 cm 410 1$1001VAN00103826$12001 $aProbability theory and stochastic modelling$1210 $aBerlin [etc.]$cSpringer$d1988-$v105 606 $a46N30$xApplications of functional analysis in probability theory and statistics [MSC 2020]$3VANC031458$2MF 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a60B11$xProbability theory on linear topological spaces [MSC 2020]$3VANC031456$2MF 606 $a60G15$xGaussian processes [MSC 2020]$3VANC020010$2MF 606 $a65C30$xNumerical solutions to stochastic differential and integral equations [MSC 2020]$3VANC023284$2MF 610 $aCluster algorithms$9KW:K 610 $aContinuous-time stochastic processes$9KW:K 610 $aDiscretization Methods$9KW:K 610 $aLuschgy Graf$9KW:K 610 $aNumerical Probability$9KW:K 610 $aNumerical methods in probability$9KW:K 610 $aPages Numerical Probability$9KW:K 610 $aRandom vectors$9KW:K 610 $aSignal processing$9KW:K 610 $aSignal transmission$9KW:K 610 $aSpace discretizations$9KW:K 610 $aUnsupervised learning$9KW:K 610 $aVector Quantization$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aLuschgy$bHarald$3VANV087659$062625 701 1$aPagès$bGilles$3VANV096340$0767869 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241122$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-031-45464-6$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 $aVAN00279517 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 9431 $e08eMF9431 20240715 996 $aMarginal and Functional Quantization of Stochastic Processes$93660387 997 $aUNICAMPANIA