</code> (default)</p></li>
<li><p><code>loss='huber'</code></p></li>
<li><p><code>loss='tukey'</code></p></li>
</ol>
<p>This argument only affects the Kalman filtering methods, and is used
to regularize the likelihood contributions, removing the influence of
large outliers.</p>
<p>The i<sup>th</sup> likelihood contributions is given by: <span class="math display">\[
-\log L_{i}(\theta) \propto f(r_i)
\]</span> where <span class="math inline">\(r_i = \sqrt{e_{i}^{T}
\Sigma_{i}^{-1} e_{i}}\)</span> is a norma