LEADER 00796nam0-2200265 --450 001 9910775800703321 005 20240119103329.0 010 $a978-88-13-38500-2 100 $a20240119d2023----kmuy0itay5050 ba 101 0 $aita$cita 102 $aIT 105 $a 001yy 200 1 $aAccusato e accusatore$ele oscillazioni del diritto al confronto$fMena Minafra 210 $aMilano$cWolters Kluwer CEDAM$d2023 215 $aXV, 527 p.$d24 cm 225 1 $aProblemi attuali della giustizia penale. Studi$v123 676 $a345.45075$v23$zita 700 1$aMinafra,$bMena$01258012 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910775800703321 952 $aXIII D 250$b2023/1220$fFGBC 959 $aFGBC 996 $aAccusato e accusatore$93840070 997 $aUNINA LEADER 03473nam 22006615 450 001 9910520083603321 005 20250316212620.0 010 $a9783030846398 010 $a3030846393 024 7 $a10.1007/978-3-030-84639-8 035 $a(MiAaPQ)EBC6840134 035 $a(Au-PeEL)EBL6840134 035 $a(CKB)20443694400041 035 $a(PPN)269153667 035 $a(DE-He213)978-3-030-84639-8 035 $a(EXLCZ)9920443694400041 100 $a20220103d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Elements of Hawkes Processes /$fby Patrick J. Laub, Young Lee, Thomas Taimre 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (134 pages) 311 08$aPrint version: Laub, Patrick J. The Elements of Hawkes Processes Cham : Springer International Publishing AG,c2022 9783030846381 320 $aIncludes bibliographical references and index. 327 $aBackground -- Hawes Process Essentials -- Simulation Methods -- Likelihood Methods -- EM Algorithm -- Bayesian Methods -- Spectral Methods -- Goodness of Fit -- Traditional Applications -- Financial and Actuarial Applications -- Biological Applications. 330 $aHawkes processes are studied and used in a wide range of disciplines: mathematics, social sciences, and earthquake modelling, to name a few. This book presents a selective coverage of the core and recent topics in the broad field of Hawkes processes. It consists of three parts. Parts I and II summarise and provide an overview of core theory (including key simulation methods) and inference methods, complemented by a selection of recent research developments and applications. Part III is devoted to case studies in seismology and finance that connect the core theory and inference methods to practical scenarios. This book is designed primarily for applied probabilists, statisticians, and machine learners. However, the mathematical prerequisites have been kept to a minimum so that the content will also be of interest to undergraduates in advanced mathematics and statistics, as well as machine learning practitioners. Knowledge of matrix theory with basics of probability theory, including Poisson processes, is considered a prerequisite. Colour-blind-friendly illustrations are included. 606 $aStatistics 606 $aProbabilities 606 $aStatistics 606 $aMachine learning 606 $aStatistical Theory and Methods 606 $aProbability Theory 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 606 $aMachine Learning 615 0$aStatistics. 615 0$aProbabilities. 615 0$aStatistics. 615 0$aMachine learning. 615 14$aStatistical Theory and Methods. 615 24$aProbability Theory. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 615 24$aMachine Learning. 676 $a511.8 676 $a519.23 700 $aLaub$b Patrick J.$01074689 702 $aTaimre$b Thomas$f1983- 702 $aLee$b Young 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910520083603321 996 $aThe elements of Hawkes processes$92910303 997 $aUNINA