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Rejoinder on: “Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates”. (English) Zbl 1305.62300

Rejoinder on the comments [Zbl 1305.62301; Zbl 1305.62302; Zbl 1305.62304; Zbl 1305.62305] to the authors’ paper [Test 23, No. 3, 433–465 (2014; Zbl 1305.62299)].

MSC:

62M05 Markov processes: estimation; hidden Markov models
60G25 Prediction theory (aspects of stochastic processes)
62F15 Bayesian inference
62H30 Classification and discrimination; cluster analysis (statistical aspects)
62P25 Applications of statistics to social sciences
62-02 Research exposition (monographs, survey articles) pertaining to statistics
Full Text: DOI

References:

[1] Altman RM (2007) Mixed hidden Markov models: an extension of the hidden Markov model to the longitudinal data setting. J Am Stat Assoc 102:201-210 · Zbl 1284.62803 · doi:10.1198/016214506000001086
[2] Bartolucci F, Pennoni F, Vittadini G (2011) Assessment of school performance through a multilevel latent Markov Rasch model. J Educ Behav Stat 36:491-522 · doi:10.3102/1076998610381396
[3] Cox DR (1981) Statistical analysis of time series: some recent developments. Scand J Stat 8:93-115 · Zbl 0468.62079
[4] Miller GA (1952) Finite Markov processes in psychology. Psychometrika 17:149-167 · Zbl 0049.37801 · doi:10.1007/BF02288779
[5] Pennoni F (2014) Issues on the estimation of latent variable and latent class models. Scholars’Press, Saarbücken
[6] van de Pol F, Langeheine R (1990) Mixed Markov latent class models. Sociol Methodol 20:213-247 · doi:10.2307/271087
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