Quantile regression for longitudinal data based on latent Markov subject-specific parameters

Author:

Farcomeni Alessio

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Reference34 articles.

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3. Bartolucci, F.: Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities. J. R. Stat. Soc. Ser. B 68, 155–178 (2006)

4. Bartolucci, F., Farcomeni, A.: A multivariate extension of the dynamic logit model for longitudinal data based on a latent Markov heterogeneity structure. J. Am. Stat. Assoc. 104, 816–831 (2009)

5. Bartolucci, F., Farcomeni, A., Pennoni, F.: An overview of latent Markov models for longitudinal categorical data (2010). arXiv:1003.2804

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