LEADER 02863oam 2200601I 450 001 9910460466303321 005 20200520144314.0 010 $a0-429-18481-6 010 $a1-4398-8275-4 024 7 $a10.1201/9781439882757 035 $a(CKB)3710000000391598 035 $a(EBL)1648265 035 $a(SSID)ssj0001460159 035 $a(PQKBManifestationID)12590141 035 $a(PQKBTitleCode)TC0001460159 035 $a(PQKBWorkID)11465645 035 $a(PQKB)10003536 035 $a(MiAaPQ)EBC1648265 035 $a(CaSebORM)9781439882757 035 $a(Au-PeEL)EBL1648265 035 $a(CaPaEBR)ebr11167511 035 $a(OCoLC)908079346 035 $a(EXLCZ)993710000000391598 100 $a20180706h20102011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aTime series $emodeling, computation, and inference /$fby Raquel Prado and Mike West 205 $a1st edition 210 1$aBoca Raton, FL :$cChapman and Hall/CRC, an imprint of Taylor and Francis,$d[2010]. 210 4$dİ2011 215 $a1 online resource (375 p.) 225 1 $aChapman & Hall/CRC texts in Statistical Science Series 300 $a"A Chapman & Hall Book." 311 $a1-4200-9336-3 320 $aIncludes bibliographical references and indexes. 327 $aFront cover; Contents; Preface; Chapter 1: Notation, definitions, and basic inference; Chapter 2: Traditional time domain models; Chapter 3: The frequency domain; Chapter 4: Dynamic linear models; Chapter 5: State-space TVAR models; Chapter 6: General state-space models andsequential Monte Carlo methods; Chapter 7: Mixture models in time series; Chapter 8: Topics and examples in multipletime series; Chapter 9: Vector AR and ARMA models; Chapter 10: Multivariate DLMs and covariance models; Bibliography; Author Index; Subject Index; Back cover 330 3 $aFocusing on Bayesian approaches and computations using simulation-based methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling and analysis, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and emerging topics at research frontiers. 410 0$aTexts in statistical science. 606 $aTime-series analysis$vTextbooks 608 $aElectronic books. 615 0$aTime-series analysis 676 $a519.5/5 700 $aPrado$b Raquel$0614671 702 $aWest$b Mike 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910460466303321 996 $aTime series$92066114 997 $aUNINA LEADER 00779nam0-2200265 --450 001 9910582901003321 005 20220720150510.0 010 $a978-88-8455-663-9 100 $a20220720d2012----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $ay 001yy 200 1 $aPassione veronese$fa cura di Paolo Pellegrini$gpresentazione di Gian Paolo Marchi 210 $aRoma$aPadova$cAntenore$d2012 215 $aLXXIII, 169 p.$d23 cm 225 1 $aScrittori italiani commentati$v16 702 1$aMarchi,$bGian Paolo 702 1$aPellegrini,$bPaolo$f<1970-> 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910582901003321 952 $a858.1 PELP 01$b2022/973$fFLFBC 959 $aFLFBC 996 $aPassione veronese$9240253 997 $aUNINA