ter is not infinite.
Similar problems arise for the expectation terms in logistic
regression, which is why the logit-scale parameterizations of the
Bernoulli and binomial distributions are more stable.</p>
</div>
</div>
</div>
            </section>

          </div>
        </div>
      </div>
<a href="component-collapsing-in-mixture-models.html" class="navigation navigation-prev " aria-label="Previous page"><i class="fa fa-angle-left"></i></a>
<a href="posteriors-with-unbounded-parameters.html" class="nav