A mixture latent variable model for modeling mixed data in heterogeneous populations and its applications

Author:

Amiri Leila,Khazaei Mojtaba,Ganjali Mojtaba

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Economics and Econometrics,Social Sciences (miscellaneous),Modeling and Simulation,Statistics and Probability,Analysis

Reference43 articles.

1. Amiri, L., Khazaei, M., Ganjali, M.: General location model with factor analyzer covariance matrix structure and its applications. Adv. Data Anal. Classif. (2016). doi: 10.1007/s11634-016-0258-6

2. Anderson, J.A., Pemberton, J.D.: The grouped continuous model for multivariate ordered categorical variables and covariate adjustment. Biometrics 41, 875–885 (1985)

3. Baker, S.G.: A simple method for computing the observed information matrix when using the EM algorithm. J. Comput. Gr. Stat. 10, 63–76 (1992)

4. Barnard, J., McCulloch, R.E., Meng, X.L.: Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage. Statistica Sinica 10, 1281–1311 (2000)

5. Bartholomew, D.J., Knott, M., Moustaki, I.: Latent Variable Models and Factor Analysis: A Unified Approach, 3rd edn. Wiley, London (2011)

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