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.

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 69, No. 3 (2020), pp. 547-564 (18 pages) We introduce a selection model-based multilevel imputation approach to be used ...