Suppose that a probability model can be factored into the form
\[p(x |\bt, \be) = p(v|w, \bt) p(w|\bt, \be).\]The first term, $L(\bt) = p(v \given w, \bt)$, is known as the conditional likelihood; note that this term is free of the nuisance parameters $\be$.