er-estimation" title="Link to this heading"></a></h2>
<p>Bayesian Parameter Estimation incorporates prior beliefs about the distributions of variables. This helps prevent overfitting and provides more robust parameter estimates.</p>
<p>One can think of the priors as consisting in <em>pseudo state counts</em>, that are added to the actual counts before normalization. Unless one wants to encode specific beliefs about the distributions of the variables, one commonly chooses uniform priors, i.e. ones that de