Mixtures of Probit Regression Models with Overlapping Clusters
Author:
Affiliation:
1. Department of Statistical Sciences, University of Bologna, Bologna (Italy)
2. Department of Mathematics, University of Trento, Trento (Italy)
3. Institute of Computational Science, Universitá della Svizzera italiana, Lugano (Switzerland)
Publisher
Institute of Mathematical Statistics
Subject
Applied Mathematics,Statistics and Probability
Reference38 articles.
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3. Bermúdez, L. and Karlis, D. (2012). “A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking.” Computational Statistics & Data Analysis, 56(12): 3988–3999”.
4. Berrettini, M., Galimberti, G., Ranciati, S., and Murphy, T. B. (2021). “Flexible Bayesian modelling of concomitant covariate effects in mixture models.” arXiv preprint arXiv:2105.12852.
5. Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003). “Latent Dirichlet allocation.” Journal of machine Learning research, 3(Jan): 993–1022.
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