Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data-Reference-Cited by-同舟云学术

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Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data

Published:2018-01-11 Issue:2 Volume:53 Page:151-171
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Cai Jingheng¹,Ouyang Ming²,Kang Kai²,Song Xinyuan³

Affiliation:

1. Department of Statistics, Sun Yat-sen University, Guangzhou, PR China

2. Department of Statistics, The Chinese University of Hong Kong, Hong Kong

3. Shenzhen Research Institute & Department of Statistics, The Chinese University of Hong Kong, Hong Kong, China

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,General Medicine,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2017.1407233

Reference65 articles.

1. Mixed Hidden Markov Models

2. Bayesian factor analysis for multilevel binary observations

3. Categorical Data Analysis

4. A Multivariate Extension of the Dynamic Logit Model for Longitudinal Data Based on a Latent Markov Heterogeneity Structure

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3. Two‐part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates;Statistics in Medicine;2020-02-26

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