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010   $a1-394-42758-1
010   $a1-394-42756-5
035   $a(MiAaPQ)EBC32432299
035   $a(Au-PeEL)EBL32432299
035   $a(CKB)43902311600041
035   $a(OCoLC)1559220168
035   $a(EXLCZ)9943902311600041
100   $a20251203d2026      uy         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 12$aA Comprehensive Guide to HSMM $eTheory, Software, and Advanced Extensions
205   $a1st ed.
210  1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2026.
210  4$dİ2026.
215   $a1 online resource (263 pages)
225 1 $aISTE Invoiced Series
311 08$a1-83669-035-5 
330   $aHidden Semi-Markov Models (HSMMs) have been extensively used for diverse applications where the objective is to analyze time series whose dynamics can be explained by a hidden process.
410  0$aISTE Invoiced Series
606   $aMATHEMATICS / Applied$2bisacsh
606   $aMATHEMATICS / Probability & Statistics / General$2bisacsh
615  7$aMATHEMATICS / Applied
615  7$aMATHEMATICS / Probability & Statistics / General
700   $aPeyrard$b Nathalie$01866243
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911046559303321
996   $aA Comprehensive Guide to HSMM$94473609
997   $aUNINA