USING ASYMMETRIC DISTRIBUTIONS FOR MODELING GENE EXPRESSION DATA

Abstract

We present a short review of the asymmetric distributions alpha-stable, skew normal, skew Student’s t and skew Laplace. We compare the performance for these distributions, in general, are used to model asymmetric data, using AIC and BIC. These criterias were able to selecting the best model for each data set. We also apply these models to gene expression data and we verify these distributions are qualified to model these  observations.