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portada A Comprehensive Guide to HSMM. Theory, Software, and Advanced Extensions
Type
Physical Book
Publisher
Author
Collection
ISTE Invoiced
Year
2026
Language
English
Pages
272
Format
Hardcover
ISBN13
9781836690351

A Comprehensive Guide to HSMM. Theory, Software, and Advanced Extensions

Nathalie Peyrard;Benoîte De Saporta (Author) · Wiley-ISTE · Hardcover

A Comprehensive Guide to HSMM. Theory, Software, and Advanced Extensions - Nathalie Peyrard;Benoîte de Saporta

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Synopsis "A Comprehensive Guide to HSMM. Theory, Software, and Advanced Extensions"

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.

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The binding of this edition is Hardcover.

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