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.

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

Zhenyu Zhang, Akihiko Nishimura, Paul Bastide, Xiang Ji, Rebecca P. Payne, Philip Goulder, Philippe Lemey, Marc A. Suchard, LARGE-SCALE INFERENCE OF CORRELATION AMONG MIXED-TYPE BIOLOGICAL TRAITS WITH ...