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