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 ...

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.

The multivariate probit technique meets the requirements of a threshold decision model. An empirical example is combined with the basic description of the model. JMR publishes articles representing ...

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