  Particle physics experiments use likelihood ratio tests extensively to
compare hypotheses and to construct confidence intervals. Often, the null
distribution of the likelihood ratio test statistic is approximated by a
$\chi^2$ distribution, following a theorem due to Wilks. However, many
circumstances relevant to modern experiments can cause this theorem to fail. In
this paper, we review how to identify these situations and construct valid
inference.
