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Mixtures of Shifted Asymmetric Laplace Distributions
Mixtures Shifted Asymmetric Laplace Distributions
2012/9/19
A mixture of shifted asymmetric Laplace distributions is introduced and used for clustering and classi cation. A variant of the EM algorithm is developed for parameter estimation by exploiting the rel...
Maximum Likelihood Estimation of Gaussian Cluster Weighted Models and Relationships with Mixtures of Regression
Cluster-weighted modeling finite mixtures of regression EM-algorithm
2012/9/19
Cluster-weighted modeling (CWM) is a mixture approach for modeling the joint probability of a response variable and a set of explanatory variables. The parame-ters are estimated by means of the expect...
On the canonical form of scale mixtures of skew-normal distributions
affine invariance kurtosis Mardia indices of multivariate skewness and kurtosis scale mixtures of normal distributions skewness skew-normal distribution skewtdistribution.
2012/9/18
The canonical form of scale mixtures of multivariate skew-normal distribution is defined,emphasizing its role in summarizing some key properties of this class of distributions. It is also shown that t...
On Normal Variance-Mean Mixtures
convex contours distribution theory generalized inverse Gaussian distribution
2011/7/5
Normal variance-mean mixtures encompass a large family of useful distributions such as the generalized hyperbolic distribution, which itself includes the Student t, Laplace, hyperbolic, normal inverse...
Stochastic model selection for Mixtures of Matrix-Normals
Mixture models birth and death process Gibbs sampler
2010/10/19
Finite mixtures of matrix normal distributions are a powerful tool for classifying three-way data in unsupervised problems. The distribution of each component is assumed to be a matrix variate normal ...