Variable Selection for Robust Mixture Regression Model with Skew Scale Mixtures of Normal Distributions

Finite Mixture Distributions with Skew Normal Components

This article has no abstract.

Robust mixture modeling based on scale mixtures of skew-normal distributions

Modelling covariance structure in the analysis of repeated measures data, Statist. Med. A new class of multivariate skew distributions with applications to Bayesian regression models, The Canadion Journal of Analysis for the Student-t regression model.

The Family of Scale-Mixture of Skew-Normal Distributions and Its Application in Bayesian Nonlinear Regression Models

In previous studies on fitting non-linear regression models with the symmetric structure the normality is usually assumed in the analysis of data. This choice may be inappropriate when the distribution of residual terms is asymmetric. Recently, the family of scale-mixture of skew-normal distributions is the main concern of many researchers. This family includes several skewed and heavy-tailed d...

Characteristic functions of scale mixtures of multivariate skew-normal distributions

Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions.

An extension of some standard likelihood based procedures to heteroscedastic nonlinear regression models under scale mixtures of skew-normal (SMSN) distributions is developed. We derive a simple EM-type algorithm for iteratively computing maximum likelihood (ML) estimates and the observed information matrix is derived analytically. Simulation studies demonstrate the robustness of this flexible ...