  In this paper, we propose finite mixtures of multivariate skew Laplace
distributions to model both skewness and heavy-tailedness in the heterogeneous
data sets. The maximum likelihood estimators for the parameters of interest are
obtained by using the EM algorithm. We give a small simulation study and a real
data example to illustrate the performance of the proposed mixture model.
