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 ...

The need to combine likelihood information is common in analyses of complex models and in meta-analyses, where information is combined from several studies. We work to first order, and show that full ...

Scientists at The Hospital for Sick Children (SickKids) have revealed a previously overlooked layer of genetic variation that ...

This is a preview. Log in through your library . Abstract In this paper, we study the differentiability of implicitly defined functions which we encounter in the profile likelihood estimation of ...