 parameters rendering densities extremely small (risking numerical underflow issues), what is a reasonable low-dimensional test statistic based on which to compute the probability of observing our sample?</li>
<li>The more complex and expressive a model, the more difficult it is to identify or compute sufficient statistics, which are potential candidates for test statistics especially when estimating distributional parameters is intractable or noisy.</li>
</ul>
<p>Given the potential challenge of asserting 