期刊
JOURNAL OF MATHEMATICAL PSYCHOLOGY
卷 55, 期 6, 页码 403-415出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jmp.2011.08.002
关键词
Hidden Markov model; Dependent mixture model; Mixture model
This paper provides a tutorial on key issues in hidden Markov modeling. Hidden Markov models have become very popular models for time series and longitudinal data in recent years due to a combination of (relative) simplicity and flexibility in adapting the model to novel situations. The tutorial covers the conceptual description of the model, estimation of parameters through maximum likelihood, and ends with an application to real data illustrating the possibilities. (C) 2011 Elsevier Inc. All rights reserved.
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