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Structural Equation Modeling: A Multidisciplinary Journal Volume 25, 2018 - Issue 1
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Original Articles

Bayesian Analysis of Semiparametric Hidden Markov Models With Latent Variables

Xinyuan SongThe Chinese University of Hong KongView further author information
,
Kai KangThe Chinese University of Hong KongView further author information
,
Ming OuyangThe Chinese University of Hong KongView further author information
,
Xuejun JiangSouthern University of Science and Technology of ChinaView further author information
&
Jingheng CaiSun Yat-sen UniversityCorrespondence[email protected]
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Pages 1-20 | Published online: 28 Sep 2017

Citations (6)

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Min-Jeong Jeon & Su-Young Kim. (2021) Performance of Second-Order Latent Growth Model Under Partial Longitudinal Measurement Invariance: A Comparison of Two Scaling Approaches. Structural Equation Modeling: A Multidisciplinary Journal 28:2, pages 261-277.
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Articles from other publishers (5)

Hefei Liu & Xinyuan Song. (2021) Bayesian analysis of hidden Markov structural equation models with an unknown number of hidden states. Econometrics and Statistics 18, pages 29-43.
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Hefei Liu, Xinyuan Song, Yanlin Tang & Baoxue Zhang. (2020) Bayesian quantile nonhomogeneous hidden Markov models. Statistical Methods in Medical Research 30:1, pages 112-128.
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Shen Xiujuan, Liu Hefei, Li Yong & Yuan Bin. (2021) Detection of Factors Affecting State Transition Based on Non-Homogeneous Markov Chain Model. IEEE Access 9, pages 102490-102496.
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Hefei Liu, Kunqjnu Wang & Yong Li. (2020) Hidden Markov Linear Regression Model and its Parameter Estimation. IEEE Access 8, pages 187037-187042.
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Kai Kang, Xinyuan Song, X. Joan Hu & Hongtu Zhu. (2018) Bayesian adaptive group lasso with semiparametric hidden Markov models. Statistics in Medicine 38:9, pages 1634-1650.
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