On the Use of Mixed Markov Models for Intensive Longitudinal Data-Reference-Cited by-同舟云学术

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On the Use of Mixed Markov Models for Intensive Longitudinal Data

Published:2017-09-28 Issue:6 Volume:52 Page:747-767
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

de Haan-Rietdijk S.¹,Kuppens P.²^ORCID,Bergeman C. S.³,Sheeber L. B.⁴,Allen N. B.⁵,Hamaker E. L.¹²

Affiliation:

1. Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University

2. Department of Psychology, Faculty of Psychology and Educational Sciences, KU Leuven

3. Department of Psychology, University of Notre Dame

4. Oregon Research Institute

5. Department of Psychology, University of Oregon

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/10.1080/00273171.2017.1370364

Reference74 articles.

1. A new look at the statistical model identification

2. Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts

3. Mixed Hidden Markov Models

4. A comparison of some criteria for states selection in the latent Markov model for longitudinal data

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