Mean-Variance and Mean-Variance-Correlation Neural Network Regression Models

Abstract

We introduce two neural network models designed for application in statistical learning. The mean-variance neural network regression model allows us to simultaneously model the mean and the variance of a response variable. In case of a two-dimensional response vector, the mean-variance-correlation neural network regression model enables us to jointly model the means, the variances and the correlation.