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 ...

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 ...

STUART P. HARDEGREE, ADAM H. WINSTRAL, Predicting Germination Response to Temperature. II. Three-dimensional Regression, Statistical Gridding and Iterative-probit Optimization Using Measured and ...

We’ll use the R software language to run some examples of multiple linear regression and probit regression using the bayesm package that will illustrate these concepts. Hopefully you'll come away with ...

CRIM.7900 — Graduate Id: 037120 Offering: 1 Credits: 3-3 Description The estimation of empirical models is essential to public policy analysis and social science research. Ordinary Least Squares (OLS) ...