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typo in weekly material

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Morten Hjorth-Jensen
2024-09-02 08:14:46 +02:00
parent d95735b5da
commit d065a77bd9
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doc/LectureNotes/_build/html/_sources/week36.ipynb
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doc/LectureNotes/_build/html/searchindex.js
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doc/LectureNotes/_build/html/week36.html
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@@ -397,8 +397,8 @@ const thebe_selector_output = ".output, .cell_output"
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#independent-and-identically-distrubuted-iid">
Independent and Identically Distrubuted (iid)
<a class="reference internal nav-link" href="#independent-and-identically-distributed-iid">
Independent and Identically Distributed (iid)
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
@@ -668,8 +668,8 @@ const thebe_selector_output = ".output, .cell_output"
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#independent-and-identically-distrubuted-iid">
Independent and Identically Distrubuted (iid)
<a class="reference internal nav-link" href="#independent-and-identically-distributed-iid">
Independent and Identically Distributed (iid)
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
@@ -1854,8 +1854,8 @@ single output <span class="math notranslate nohighlight">\(y_i\)</span> is given
y_i\sim \mathcal{N}(\boldsymbol{X}_{i,*}\boldsymbol{\beta}, \sigma^2)=\frac{1}{\sqrt{2\pi\sigma^2}}\exp{\left[-\frac{(y_i-\boldsymbol{X}_{i,*}\boldsymbol{\beta})^2}{2\sigma^2}\right]}.
\]</div>
</div>
<div class="section" id="independent-and-identically-distrubuted-iid">
<h2>Independent and Identically Distrubuted (iid)<a class="headerlink" href="#independent-and-identically-distrubuted-iid" title="Permalink to this headline"></a></h2>
<div class="section" id="independent-and-identically-distributed-iid">
<h2>Independent and Identically Distributed (iid)<a class="headerlink" href="#independent-and-identically-distributed-iid" title="Permalink to this headline"></a></h2>
<p>We assume now that the various <span class="math notranslate nohighlight">\(y_i\)</span> values are stochastically distributed according to the above Gaussian distribution.
We define this distribution as</p>
<div class="math notranslate nohighlight">