ter estimation, though the two models have almost the same form. The additional assumption for naive Bayes dramatically simplify the estimation:</p>
<ul>
<li>
<p>The individual class-conditional marginal densities can be estimated separately using 1-dimensional kernel density estimates.</p>
</li>
<li>
<p>When all the variables <span class="arithmatex">\(X_k\)</span> are discrete, then appropriate histogram estimates can be used.</p>
</li>
</ul>
<p>On the other hand, parameters are usually estimated by Newto