Finite mixture of semiparametric multivariate skew-normal distributions
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[1] Reinaldo Boris Arellano-Valle,et al. Scale and shape mixtures of multivariate skew-normal distributions , 2018, J. Multivar. Anal..
[2] P. N. Rathie,et al. On the identifiability of finite mixture of Skew-Normal and Skew-t distributions , 2015 .
[3] Geoffrey J. McLachlan,et al. Finite mixtures of multivariate skew t-distributions: some recent and new results , 2014, Stat. Comput..
[4] Sharon X. Lee,et al. EMMIXuskew: An R Package for Fitting Mixtures of Multivariate Skew t Distributions via the EM Algorithm , 2012, 1211.5290.
[5] Victor H. Lachos,et al. Multivariate mixture modeling using skew-normal independent distributions , 2012, Comput. Stat. Data Anal..
[6] Victor H. Lachos,et al. Robust mixture modeling based on scale mixtures of skew-normal distributions , 2010, Comput. Stat. Data Anal..
[7] Tsung I. Lin,et al. Robust mixture modeling using multivariate skew t distributions , 2010, Stat. Comput..
[8] Tsung I. Lin,et al. Maximum likelihood estimation for multivariate skew normal mixture models , 2009, J. Multivar. Anal..
[9] R. Arellano-Valle,et al. Bayesian Inference for Skew-normal Linear Mixed Models , 2007 .
[10] Yong Wang. On fast computation of the non‐parametric maximum likelihood estimate of a mixing distribution , 2007 .
[11] Kurt Hornik,et al. kernlab - An S4 Package for Kernel Methods in R , 2004 .
[12] S. Sahu,et al. A new class of multivariate skew distributions with applications to bayesian regression models , 2003 .
[13] A. Azzalini,et al. The multivariate skew-normal distribution , 1996 .
[14] A. V. D. Vaart,et al. Efficient maximum likelihood estimation in semiparametric mixture models , 1996 .
[15] J. Kalbfleisch,et al. An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution , 1992 .
[16] Dankmar Böhning,et al. Numerical estimation of a probability measure , 1985 .
[17] Changbao Wu,et al. Some Algorithmic Aspects of the Theory of Optimal Designs , 1978 .
[18] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[19] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[20] H. Teicher. Identifiability of Finite Mixtures , 1963 .
[21] H. Teicher. Identifiability of Mixtures , 1961 .
[22] G. M. Tallis. The Moment Generating Function of the Truncated Multi‐Normal Distribution , 1961 .
[23] J. Kiefer,et al. CONSISTENCY OF THE MAXIMUM LIKELIHOOD ESTIMATOR IN THE PRESENCE OF INFINITELY MANY INCIDENTAL PARAMETERS , 1956 .