Téléchargez le livre : A Comprehensive Guide to HSMM

A Comprehensive Guide to HSMM

Theory, Software, and Advanced Extensions

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Éditeur :

Wiley-ISTE


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ISTE Invoiced

Paru le : 2025-11-28



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Description
Hidden 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.

A Comprehensive Guide to HSMM offers an accessible introduction to the framework of HSMM, covering the main methods and theoretical results for maximum likelihood estimation in HSMM. It also includes a unique review of existing R and Python software for HSMM estimation. The book then introduces less classical related topics, such as multi-chain HSMM and controlled HSMM, with an emphasis on the challenges related to computational complexity.

This book is primarily intended for master’s and PhD students, researchers and academic faculty in the fields of statistics, applied probability, graphical models, computer science and connected domains. It is also meant to be accessible to practitioners involved in modeling, analysis or control of time series in the fields of reliability, theoretical ecology, signal processing, finance, medicine and epidemiology.
Pages
272 pages
Collection
ISTE Invoiced
Parution
2025-11-28
Marque
Wiley-ISTE
EAN papier
9781836690351
EAN PDF
9781394427567
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
272
Taille du fichier
3625 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
167,11 €

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