Parameter redundancy and identifiability in hidden Markov models
Author:
Funder
University of Kent
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s40300-019-00156-3.pdf
Reference40 articles.
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3. Bulla, J., Berzel, A.: Computational issues in parameter estimation for stationary hidden Markov models. Comput. Stat. 23, 1–1 (2008)
4. Bureau, A., Shiboski, S., Huges, J.P.: Applications of continuous time hidden Markov models to the study of misclassified disease outcomes. Stat. Med. 22, 441–462 (2003)
5. Campbell, D., Lele, S.: An ANOVA test for parameter estimability using data cloning with application to statistical inference for dynamic systems. Comput. Stat. Data Anal. 70, 257–267 (2014)
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