The influence of observation sequence features on the performance of the Bayesian hidden Markov model: A Monte Carlo simulation study.

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Bibliographic Details
Title: The influence of observation sequence features on the performance of the Bayesian hidden Markov model: A Monte Carlo simulation study.
Authors: Simons JW; Department of Sociology, Utrecht University, Utrecht, The Netherlands., Boverhof BJ; Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands., Aarts E; Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands.
Source: PloS one [PLoS One] 2024 Dec 11; Vol. 19 (12), pp. e0314444. Date of Electronic Publication: 2024 Dec 11 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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