This example demonstrates how to use PROC NLIN with a likelihood function. In this case, the likelihood function to minimize is where and is the normal probability function. This is the likelihood ...

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 ...

As in the previous example and in Hedeker and Gibbons (1994), assume an underlying latent continuous variable, here with the form where i indexes patient and j indexes the time period, gi indicates ...

Huiping Xu, Bruce A. Craig, Likelihood Analysis of Multivariate Probit Models Using a Parameter Expanded MCEM Algorithm, Technometrics, Vol. 52, No. 3 (August 2010), pp. 340-348 ...