1. Akaike, H. (1973). Information theory and extension of the maximum likelihood principle. In B. N. Petrov & Csaki, F. (Eds.), Second international symposium on information theory (pp. 267–281). Budapest: Akademiai Kiado.
2. Bartolucci, F. (2006). Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities. Journal of the Royal Statistical Society: Series B, 68, 155–178.
3. Bartolucci, F. (2012). Package LMest for R, available via CRAN at
http://cran.r-project.org/web/packages/LMest/index.html
.
4. Bartolucci, F., & Lupparelli, M. (2012). Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data. arXiv:1208.1864.
5. Bartolucci, F., & Solis-Trapala, I. (2010). Multidimensional latent Markov models in a developmental study of inhibitory control and attentional flexibility in early childhood. Psychometrika, 75, 725–743.