Equicorrelated binary observations are modelled using a multivariate probit regression model. Log likelihood derivatives are reduced to simple linear combinations of equicorrelated multivariate normal ...
and is the normal probability function. This is the likelihood function for a binary probit model. This likelihood is strictly positive so that you can take a square root of and use this as your ...
Geweke, John, Keane, Michael P., Federal Reserve Bank of Minneapolis. Research Department This paper generalizes the normal probit model of dichotomous choice by introducing mixtures of normals ...
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