Detecting Multiple Random Changepoints in Bayesian Piecewise Growth Mixture Models
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DOI: 10.1007/s11336-017-9594-5
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Cited by:
- Jin Liu & Robert A. Perera & Le Kang & Roy T. Sabo & Robert M. Kirkpatrick, 2022. "Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces," Journal of Educational and Behavioral Statistics, , vol. 47(2), pages 167-201, April.
- Daniel Y. Lee & Jeffrey R. Harring, 2023. "Handling Missing Data in Growth Mixture Models," Journal of Educational and Behavioral Statistics, , vol. 48(3), pages 320-348, June.
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Keywords
Bayesian; longitudinal data; Markov chain Monte Carlo; mixture model; nonlinear random effects models; piecewise function;All these keywords.
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