LEADER 01060nam0-22003371i-450- 001 990005300330403321 005 20101112162646.0 035 $a000530033 035 $aFED01000530033 035 $a(Aleph)000530033FED01 035 $a000530033 100 $a19990604d1971----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>eclissi del sacro nella civiltà industriale$edissacrazione e secolarizzazione nella societa industriale e postindustriale$fSabino S. Acquaviva 205 $a3. ed. riv. 210 $aMilano$cEdizioni di Comunita$d1971 215 $a337 p.$d23 cm 225 1 $aStudi e ricerche di scienze sociali$v3 610 0 $aReligione$aSociologia 610 0 $aSecolarizzazione 676 $a306.6 700 1$aAcquaviva,$bSabino$f<1927- >$033891 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005300330403321 952 $a306.6 ACQ 5$bST.REL. 588$fFLFBC 959 $aFLFBC 996 $aEclissi del sacro nella civiltà industriale$9145980 997 $aUNINA LEADER 03165nam 22006495 450 001 9910728944303321 005 20251008144929.0 010 $a9783031322426 010 $a3031322428 024 7 $a10.1007/978-3-031-32242-6 035 $a(MiAaPQ)EBC30558369 035 $a(Au-PeEL)EBL30558369 035 $a(OCoLC)1381096978 035 $a(DE-He213)978-3-031-32242-6 035 $a(BIP)090182091 035 $a(PPN)270615180 035 $a(CKB)26816389100041 035 $a(EXLCZ)9926816389100041 100 $a20230531d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to Bayesian Tracking and Particle Filters /$fby Lawrence D. Stone, Roy L. Streit, Stephen L. Anderson 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (124 pages) 225 1 $aStudies in Big Data,$x2197-6511 ;$v126 311 08$aPrint version: Stone, Lawrence D. Introduction to Bayesian Tracking and Particle Filters Cham : Springer International Publishing AG,c2023 9783031322419 327 $aIntroduction -- Bayesian Single Target Tracking -- Bayesian Particle Filtering -- Simple Multiple Target Tracking -- Intensity Filters. 330 $aThis book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers. The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target?s behavior in a natural fashion rather than assumptions made for mathematical convenience. The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face. 410 0$aStudies in Big Data,$x2197-6511 ;$v126 606 $aEngineering$xData processing 606 $aStatistics 606 $aBig data 606 $aData Engineering 606 $aBayesian Inference 606 $aBig Data 615 0$aEngineering$xData processing. 615 0$aStatistics. 615 0$aBig data. 615 14$aData Engineering. 615 24$aBayesian Inference. 615 24$aBig Data. 676 $a620.00285 676 $a519.542 700 $aStone$b Lawrence D$059128 701 $aStreit$b Roy L$01367147 701 $aAnderson$b Stephen L$0162681 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910728944303321 996 $aIntroduction to Bayesian Tracking and Particle Filters$93389872 997 $aUNINA