With the multivariate probit model embedded as a special case, this model's mathematical flexibility allows it to be used for both balanced and imbalanced data.

Multivariate binary data arise in a variety of settings. In this article we propose a practical and efficient computational framework for maximum likelihood estimation of multivariate probit ...

For more information on this research see: A Multivariate Probit Analysis of Factors Affecting Risk Management Strategy Choices in Dried Apricot Farming.

A rich class of parametric models is proposed for discrete choice data based on the scale mixture of multivariate normal distributions. The multinomial probit model is a special case in the class.