using the indicator function on their equality, or by computing the
term inside the integral as a generated quantity. As with predictive
likelihood, working in expectation is more statistically efficient than
sampling.</p>
</div>
</div>
</div>
<div class="footnotes">
<hr />
<ol start="12">
<li id="fn12"><p>Imposing a constraint such as <span class="math inline">\(\theta &lt; 0.5\)</span> will resolve the symmetry, but fundamentally changes the model and its posterior inferences.<a href="mixture-inference-se