Equicorrelated binary observations are modelled using a multivariate probit regression model. Log likelihood derivatives are reduced to simple linear combinations of equicorrelated multivariate normal ...

The fundamental building block of neural network is a model that mimic neuron cell. We can model this neuron using a model that output a value between 0 and 1, zero representing inactive cell and 1 ...

The computer software code and the data in section 5 of article "Bayesian Analysis of a Dynamic Multivariate Spatial Ordered Probit Model".

Joint estimation of farmers' farm and off-farm work participation requires a multivariate probit model, in which the number of equations is twice the number of household members. Where there are more ...

Before we learn how to perform multivariate regression in Excel, it is important to have a refresher on regression as a whole and multivariate regression in particular. One of the hallmarks of human ...