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 ...

BOOKS on statistics are apt to be either shallow or obscure. A book which avoided both these dangers and yet covered the whole field would have to be a very long book ; but it is possible to achieve ...

The purpose of this study is to account for voter choice in the 2011 Assembly Election of West Bengal. Voter choice in this study is a function of economic perceptions, spatial issues and ...