Mixtures of Multiple Scaled Generalized Hyperbolic Distributions

[1]  Ryan P. Browne,et al.  Mixtures of Variance-Gamma Distributions , 2013, 1309.2695.

[2]  Ryan P. Browne,et al.  Mixtures of Shifted AsymmetricLaplace Distributions , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Paul D. McNicholas,et al.  Parsimonious skew mixture models for model-based clustering and classification , 2013, Comput. Stat. Data Anal..

[4]  Ryan P. Browne,et al.  Mixtures of Skewed Hypercubes , 2014 .

[5]  G. McLachlan,et al.  On the fitting of mixtures of multivariate skew t-distributions via the EM algorithm , 2011, 1109.4706.

[6]  Ryan P. Browne,et al.  Estimating common principal components in high dimensions , 2013, Advances in Data Analysis and Classification.

[7]  B. Jørgensen.  Statistical Properties of the Generalized Inverse Gaussian Distribution , 1981 .

[8]  Florence Forbes,et al.  A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering , 2013, Statistics and Computing.

[9]  Geoffrey J. McLachlan,et al.  Modelling high-dimensional data by mixtures of factor analyzers , 2003, Comput. Stat. Data Anal..

[10]  Paul D. McNicholas,et al.  Parsimonious Gaussian mixture models , 2008, Stat. Comput..

[11]  Ryan P. Browne,et al.  A mixture of generalized hyperbolic distributions , 2013, 1305.1036.

[12]  Paul D. McNicholas,et al.  Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models , 2010, Comput. Stat. Data Anal..

[13]  Irene Vrbik,et al.  Analytic calculations for the EM algorithm for multivariate skew-t mixture models , 2012 .

[14]  Gérard Govaert,et al.  Gaussian parsimonious clustering models , 1995, Pattern Recognit..

[15]  Tsung I. Lin,et al.  Maximum likelihood estimation for multivariate skew normal mixture models , 2009, J. Multivar. Anal..

[16]  Ryan P. Browne,et al.  Mixtures of skew-t factor analyzers , 2013, Comput. Stat. Data Anal..

[17]  N. L. Johnson,et al.  Continuous Univariate Distributions. , 1995 .

[18]  Geoffrey J. McLachlan,et al.  Mixtures of Factor Analyzers with Common Factor Loadings: Applications to the Clustering and Visualization of High-Dimensional Data , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  M. Kanehisa,et al.  A knowledge base for predicting protein localization sites in eukaryotic cells , 1992, Genomics.

[20]  O. Barndorff-Nielsen,et al.  Normal Variance-Mean Mixtures and z Distributions , 1982 .

[21]  Tsung I. Lin,et al.  Robust mixture modeling using multivariate skew t distributions , 2010, Stat. Comput..

[22]  William M. Rand,et al.  Objective Criteria for the Evaluation of Clustering Methods , 1971 .

[23]  Paul D. McNicholas,et al.  Model-based clustering of microarray expression data via latent Gaussian mixture models , 2010, Bioinform..

[24]  P. McNicholas.  Model-based classification using latent Gaussian mixture models , 2010 .

[25]  I. Good.  THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS , 1953 .

[26]  Charles Bouveyron,et al.  Model-based clustering of high-dimensional data: A review , 2014, Comput. Stat. Data Anal..

[27]  Cordelia Schmid,et al.  High-dimensional data clustering , 2006, Comput. Stat. Data Anal..

[28]  Angela Montanari,et al.  Maximum likelihood estimation of mixtures of factor analyzers , 2011, Comput. Stat. Data Anal..

[29]  Te-Won Lee,et al.  Multivariate Scale Mixture of Gaussians Modeling , 2006, ICA.

[30]  Ryan P. Browne,et al.  Model-Based Learning Using a Mixture of Mixtures of Gaussian and Uniform Distributions , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[31]  Dimitris Karlis,et al.  Model-based clustering with non-elliptically contoured distributions , 2009, Stat. Comput..

[32]  Changsong Deng,et al.  Statistics and Probability Letters , 2011 .

[33]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[34]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .