class="citation" data-cites="Rao:1945 Blackwell:1947">(<a href="#ref-Rao:1945" role="doc-biblioref">Rao 1945</a>; <a href="#ref-Blackwell:1947" role="doc-biblioref">Blackwell 1947</a>)</span>.</p>
<p>In the linear case, because the predictor is linear in the coefficients, the estimate can be further simplified to use the estimated coefficients, <span class="math display">\[\begin{eqnarray*}
\tilde{y}_n^{(m)}
&amp; \approx &amp;
\frac{1}{M} \sum_{m = 1}^M
  \left( \alpha^{(m)} + \beta^{(m)} \cdot \tilde{x}_n