Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference24 articles.
1. Afsari B (2008) Sensitivity analysis for the problem of matrix joint diagonalization. SIAM J Matrix Anal Appl 30(3):1148–1171. https://doi.org/10.1137/060655997
2. Anandkumar A, Ge R, Hsu D, Kakade SM, Telgarsky M (2014) Tensor decompositions for learning latent variables models. J Mach Learn 15:2773–2832
3. Auder B, Loum MA (2018) Morpheus: an R package to estimate parameters of logistic regressions mixtures. CRAN. https://cran.r-project.org/web/packages/morpheus
4. Dang UJ, Punzo A, McNicholas PD, Ingrassia S, Browne RP (2017) Multivariate response and parsimony for Gaussian cluster-weighted models. J Classif 34(1):4–34. https://doi.org/10.1007/s00357-017-9221-2
5. Follmann DA, Lambert D (1991) Identifiability of finite mixtures of logistic regression models. J Stat Plan Inference 27(3):375–381. https://doi.org/10.1016/0378-3758(91)90050-O