Author:
Bartolucci Francesco,Montanari Giorgio E.,Pandolfi Silvia
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Psychology (miscellaneous),Mathematics (miscellaneous)
Reference27 articles.
1. AKAIKE, H. (1973), “Information Theory and an Extension of the Maximum Likelihood Principle”, in Second International Symposium on Information Theory, eds. B.N. Petrov and F. Csaki, Budapest: Akademiai Kiado, pp. 267–281.
2. BARTOLUCCI, F., LUPPARELLI, M., and MONTANARI, G.E. (2009), “Latent Markov Model for Longitudinal Binary Data: An Application to the Performance Evaluation of Nursing Homes”, The Annals of Applied Statistics, 3, 611–636.
3. BARTOLUCCI, F., MONTANARI, G.E., and PANDOLFI, S. (2016), “Item Selection by Latent Class-Based Methods: An Application to Nursing Home Evaluation”, Advances in Data Analysis and Classification, 10, 245–262.
4. BAUM, L.E., PETRIE, T., SOULES, G., and WEISS, N. (1970), “A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains”, The Annals of Mathematical Statistics, 41, 164–171.
5. BIERNACKI, C., CELEUX, G., and GOVAERT, G. (1999), “An Improvement of the NEC Criterion for Assessing the Number of Clusters in a Mixture Model”, Pattern Recognition Letters, 20, 267–272.
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