A Systematic Review of Hidden Markov Models and Their Applications

The hidden Markov models are statistical models used in many real-world applications and communities. The use of hidden Markov models has become predominant in the last decades, as evidenced by a large number of published papers. In this survey, 146 papers (101 from Journals and 45 from Conferences/...

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Bibliographic Details
Published in:Archives of computational methods in engineering Vol. 28; no. 3; pp. 1429 - 1448
Main Authors: Mor, Bhavya, Garhwal, Sunita, Kumar, Ajay
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.05.2021
Springer Nature B.V
Subjects:
Engineering
Markov chains
Mathematical and Computational Engineering
Original Paper
Polytopes
Statistical models
Workshops
ISSN:1134-3060, 1886-1784
Online Access:Get full text
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Summary:The hidden Markov models are statistical models used in many real-world applications and communities. The use of hidden Markov models has become predominant in the last decades, as evidenced by a large number of published papers. In this survey, 146 papers (101 from Journals and 45 from Conferences/Workshops) from 93 Journals and 44 Conferences/Workshops are considered. The authors evaluate the literature based on hidden Markov model variants that have been applied to various application fields. The paper represents a short but comprehensive description of research on hidden Markov model and its variants for various applications. The paper shows the significant trends in the research on hidden Markov model variants and their applications.
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ISSN:1134-3060
1886-1784
DOI:10.1007/s11831-020-09422-4