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 ...
Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...
The Annals of Applied Statistics, Vol. 15, No. 1 (March 2021), pp. 230-251 (22 pages) Inferring concerted changes among biological traits along an evolutionary history remains an important yet ...