Author:
Bacci S.,Pandolfi S.,Pennoni F.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Statistics and Probability
Reference38 articles.
1. Akaike H (1973) Information theory and an extension of the maximum likelihood principle. In: Petrov B, Csaki F (eds) Second International Symposium on Information Theory. Akademinai Kiado, Budapest, pp 267–281
2. Bartolucci F (2006) Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities. J Royal Stat Soc Ser B 68:155–178
3. Bartolucci F, Pennoni F, Francis B (2007) A latent Markov model for detecting patterns of criminal activity. J Royal Stat Soc Ser A 170:115–132
4. Bartolucci F, Farcomeni A, Pennoni F (2013) Latent Markov models for longitudinal data. Chapman & Hall/CRC, Boca Raton
5. Baum LE, Petrie T, Soules G, Weiss N (1970) A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann Math Stat 41:164–171
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