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 ...

2021 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on risk management is the subject of a new report. According to news reporting out of the Faculty of ...

Sometimes, a more complex but more accurate model is needed when the standard off-the-shelf models just do not cut it. That is the message from researchers from KAUST’s Statistics Program. One ...

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 ...