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diff --git a/.nojekyll b/.nojekyll
@@ -1 +1 @@
-f03203f1
+ce8411eb
diff --git a/chapters/embeddings.html b/chapters/embeddings.html
@@ -807,7 +807,7 @@ <h2 data-number="7.4" class="anchored" data-anchor-id="sec-centroids"><span clas
 <p>New features are added to the model based on the distance between <span class="math inline">\(\boldsymbol{x}_0\)</span> and <span class="math inline">\(\boldsymbol{\bar{x}}^*_{c}\)</span>. The amount of shrinkage is best optimized using the tuning methods described in later chapters. There are several variations of this specific procedure. <span class="citation" data-cites="wangImprovedCentroids">Wang and Zhu (<a href="#ref-wangImprovedCentroids" role="doc-biblioref">2007</a>)</span> describe several different approaches and <span class="citation" data-cites="efron2009empirical">Efron (<a href="#ref-efron2009empirical" role="doc-biblioref">2009</a>)</span> demonstrates the connection to Bayesian methods.</p>
 <div class="cell" data-layout-align="center">
 <div class="cell-output-display">
-<div id="fig-nsc" class="quarto-float quarto-figure quarto-figure-center anchored" data-fig-align="center" alt="Nearest centroids">
+<div id="fig-nsc" class="quarto-float quarto-figure quarto-figure-center anchored" alt="Nearest centroids" data-fig-align="center">
 <figure class="quarto-float quarto-float-fig figure">
 <div aria-describedby="fig-nsc-caption-0ceaefa1-69ba-4598-a22c-09a6ac19f8ca">
 <img src="../figures/fig-nsc-1.svg" class="img-fluid quarto-figure quarto-figure-center figure-img" style="width:80.0%" alt="Nearest centroids">

diff --git a/chapters/grid-search.html b/chapters/grid-search.html
@@ -351,7 +351,7 @@ <h1 class="title d-none d-lg-block"><span id="sec-grid-search" class="quarto-sec
 <div class="column" style="width:10%;">
 
 </div><div class="column" style="width:80%;">
-<div class="pseudocode-container" data-alg-title="Algorithm" data-line-number="true" data-pseudocode-index="1" data-line-number-punc=":">
+<div class="pseudocode-container" data-pseudocode-index="1" data-line-number="true" data-line-number-punc=":" data-alg-title="Algorithm">
 <div class="pseudocode">
 \begin{algorithm} \begin{algorithmic} \State $\mathfrak{D}^{tr}$: training set of predictors $X$ and outcome $y$ \State $B$: number of resamples \State $M(\mathfrak{D}^{tr}, B)$: a mapping function to split $\mathfrak{D}^{tr}$ for each of $B$ iterations. \State $f()$: model pipeline \State $\Theta$: Parameter set ($s \times m$) with candidates $\theta_j$ \For{$j=1$ \To $s$} \State Generate $\hat{Q}_{j} =$ \Call{Resample}{$\mathfrak{D}^{tr}, f(\cdot;\theta_j), M(\mathfrak{D}^{tr}, B)$} corresponding to candidate $\theta_j$. \EndFor \State Determine $\hat{\theta}_{opt}$ that optimizes $\hat{Q}_{j}$. \end{algorithmic} \end{algorithm}
 </div>
@@ -497,7 +497,7 @@ <h3 data-number="11.3.3" class="anchored" data-anchor-id="sec-racing"><span clas
 <div class="column" style="width:10%;">
 
 </div><div class="column" style="width:80%;">
-<div id="alg-race" class="pseudocode-container" data-alg-title="Algorithm" data-line-number="true" data-pseudocode-index="2" data-line-number-punc=":">
+<div id="alg-race" class="pseudocode-container" data-pseudocode-index="2" data-line-number="true" data-line-number-punc=":" data-alg-title="Algorithm">
 <div class="pseudocode">
 \begin{algorithm} \begin{algorithmic} \State $\mathfrak{D}^{tr}$: training set of predictors $X$ and outcome $y$ \State $B$: number of resamples \State Initial number of resamples $1 \lt B_{min} \lt B$ executed prior to analysis \State $M(\mathfrak{D}^{tr}, B)$: a mapping function to split $\mathfrak{D}^{tr}$ for each of $B$ iterations. \State $f()$: model pipeline \State $\Theta$: Parameter set ($s \times m$) with candidates $\theta_j$ \For{$j=1$ \To $s$} \For{$b=1$ \To $B_{min}$} \State Generate $\hat{Q}_{jb} =$ \Call{Resample}{$\mathfrak{D}^{tr}, f(\cdot;\theta_j), M_b(\mathfrak{D}^{tr}, B)$} \EndFor \State Compute $\hat{Q}_{j} = 1/B_{min}\sum_b \hat{Q}_{jb}$. \EndFor \State Eliminate candidates to produce $\Theta^b$ ($s_b \times m$) \For{$b = B_{min} + 1$ \To $B$} \For{$j=1$ \To $s$} \State Generate $\hat{Q}_{jb} =$ \Call{Resample}{$\mathfrak{D}^{tr}, f(\cdot;\theta_j), M_b(\mathfrak{D}^{tr}, B)$} \State Update candidate subset $\Theta^b$ by applying the filtering analysis \Endfor \Endfor \State Determine $\hat{\theta}_{opt}$ that optimizes $\hat{Q}_j^k$. \end{algorithmic} \end{algorithm}
 </div>

diff --git a/chapters/news.html b/chapters/news.html
@@ -282,36 +282,41 @@ <h2 class="unlisted unnumbered anchored" data-anchor-id="errata">Errata</h2>
 </section>
 <section id="changelog" class="level2 unlisted unnumbered">
 <h2 class="unlisted unnumbered anchored" data-anchor-id="changelog">Changelog</h2>
-<section id="section" class="level3 unlisted unnumbered">
-<h3 class="unlisted unnumbered anchored" data-anchor-id="section">2024-06-17</h3>
-<p>Several new chapters on embeddings, splines/interactions/discretization, and overfitting. Also, shinylive is used for interactive visualizations of concepts.</p>
+<section id="section" class="level3">
+<h3 class="anchored" data-anchor-id="section">2024-10-23</h3>
+<p>Chapter 4 is now on missing data, bumping subsequent chapter numbers.</p>
+<p>New chapters on resampling and grid search are now online.</p>
 </section>
 <section id="section-1" class="level3 unlisted unnumbered">
-<h3 class="unlisted unnumbered anchored" data-anchor-id="section-1">2024-01-02</h3>
-<p>Fixed various typos.</p>
+<h3 class="unlisted unnumbered anchored" data-anchor-id="section-1">2024-06-17</h3>
+<p>Several new chapters on embeddings, splines/interactions/discretization, and overfitting. Also, shinylive is used for interactive visualizations of concepts.</p>
 </section>
 <section id="section-2" class="level3 unlisted unnumbered">
-<h3 class="unlisted unnumbered anchored" data-anchor-id="section-2">2023-12-21</h3>
-<p>Typo fix on main page.</p>
+<h3 class="unlisted unnumbered anchored" data-anchor-id="section-2">2024-01-02</h3>
+<p>Fixed various typos.</p>
 </section>
 <section id="section-3" class="level3 unlisted unnumbered">
-<h3 class="unlisted unnumbered anchored" data-anchor-id="section-3">2023-12-19</h3>
+<h3 class="unlisted unnumbered anchored" data-anchor-id="section-3">2023-12-21</h3>
+<p>Typo fix on main page.</p>
+</section>
+<section id="section-4" class="level3 unlisted unnumbered">
+<h3 class="unlisted unnumbered anchored" data-anchor-id="section-4">2023-12-19</h3>
 <p>Small updates.</p>
 <p>Updated snapshot.</p>
 <p>The background color of premade outputs has been changed to the pages background color (<a href="https://github.com/aml4td/website/pull/16">#16</a>).</p>
 </section>
-<section id="section-4" class="level3 unlisted unnumbered">
-<h3 class="unlisted unnumbered anchored" data-anchor-id="section-4">2023-12-11</h3>
+<section id="section-5" class="level3 unlisted unnumbered">
+<h3 class="unlisted unnumbered anchored" data-anchor-id="section-5">2023-12-11</h3>
 <p>No new content.</p>
 <p>Updated snapshot.</p>
 <p>Includes new Google Scholar links for articles (<a href="https://github.com/aml4td/website/pull/8">#8</a>)</p>
 </section>
-<section id="section-5" class="level3 unlisted unnumbered">
-<h3 class="unlisted unnumbered anchored" data-anchor-id="section-5">2023-11-17</h3>
+<section id="section-6" class="level3 unlisted unnumbered">
+<h3 class="unlisted unnumbered anchored" data-anchor-id="section-6">2023-11-17</h3>
 <p>Updated renv snapshot.</p>
 </section>
-<section id="section-6" class="level3 unlisted unnumbered">
-<h3 class="unlisted unnumbered anchored" data-anchor-id="section-6">2023-10-09</h3>
+<section id="section-7" class="level3 unlisted unnumbered">
+<h3 class="unlisted unnumbered anchored" data-anchor-id="section-7">2023-10-09</h3>
 <p>First committed versions.</p>
 
 

diff --git a/chapters/resampling.html b/chapters/resampling.html
@@ -396,7 +396,7 @@ <h1 class="title d-none d-lg-block"><span id="sec-resampling" class="quarto-sect
 <div class="column" style="width:5%;">
 
 </div><div class="column" style="width:65%;">
-<div id="alg-resampling" class="pseudocode-container" data-line-number-punc=":" data-line-number="true" data-comment-delimiter="//" data-alg-title="Algorithm" data-pseudocode-index="1" data-no-end="false" data-indent-size="1.2em">
+<div id="alg-resampling" class="pseudocode-container" data-comment-delimiter="//" data-indent-size="1.2em" data-alg-title="Algorithm" data-line-number-punc=":" data-line-number="true" data-pseudocode-index="1" data-no-end="false">
 <div class="pseudocode">
 \begin{algorithm} \begin{algorithmic} \State $\mathfrak{D}^{tr}$: training set of predictors $X$ and outcome $y$ \State $B$: number of resamples \State $M(\mathfrak{D}^{tr}, B)$: a mapping function to split $\mathfrak{D}^{tr}$ for each of $B$ iterations. \State $f()$: model pipeline \Procedure{Resample}{$\mathfrak{D}^{tr}, f, M(\mathfrak{D}^{tr}, B)$} \For{$b =1$ \To $B$} \State Partition $\mathfrak{D}^{tr}$ into $\{\mathfrak{D}_b^{fit}, \mathfrak{D}_b^{pred}\}$ using $M_b(\mathfrak{D}^{tr}, B)$. \State Train model pipeline $f$ on the analysis set to produce $\hat{f}_{b}(\mathfrak{D}_b^{fit})$. \State Generate assessment set predictions $\hat{y}_b$ by applying model $\hat{f}_{b}$ to $\mathfrak{D}_b^{pred}$. \State Estimate performance statistic $\hat{Q}_{b}$. \EndFor \State Compute reampling estimate $\hat{Q} = \sum_{b=1}^B \hat{Q}_{b}$. \Return $\hat{Q}$. \Endprocedure \end{algorithmic} \end{algorithm}
 </div>

diff --git a/search.json b/search.json
@@ -104,7 +104,7 @@
     "href": "chapters/news.html#changelog",
     "title": "News",
     "section": "Changelog",
-    "text": "Changelog\n\n2024-06-17\nSeveral new chapters on embeddings, splines/interactions/discretization, and overfitting. Also, shinylive is used for interactive visualizations of concepts.\n\n\n2024-01-02\nFixed various typos.\n\n\n2023-12-21\nTypo fix on main page.\n\n\n2023-12-19\nSmall updates.\nUpdated snapshot.\nThe background color of premade outputs has been changed to the pages background color (#16).\n\n\n2023-12-11\nNo new content.\nUpdated snapshot.\nIncludes new Google Scholar links for articles (#8)\n\n\n2023-11-17\nUpdated renv snapshot.\n\n\n2023-10-09\nFirst committed versions.",
+    "text": "Changelog\n\n2024-10-23\nChapter 4 is now on missing data, bumping subsequent chapter numbers.\nNew chapters on resampling and grid search are now online.\n\n\n2024-06-17\nSeveral new chapters on embeddings, splines/interactions/discretization, and overfitting. Also, shinylive is used for interactive visualizations of concepts.\n\n\n2024-01-02\nFixed various typos.\n\n\n2023-12-21\nTypo fix on main page.\n\n\n2023-12-19\nSmall updates.\nUpdated snapshot.\nThe background color of premade outputs has been changed to the pages background color (#16).\n\n\n2023-12-11\nNo new content.\nUpdated snapshot.\nIncludes new Google Scholar links for articles (#8)\n\n\n2023-11-17\nUpdated renv snapshot.\n\n\n2023-10-09\nFirst committed versions.",
     "crumbs": [
       "News"
     ]

diff --git a/sitemap.xml b/sitemap.xml
@@ -6,7 +6,7 @@
   </url>
   <url>
     <loc>https://aml4td.org/chapters/news.html</loc>
-    <lastmod>2024-08-16T22:47:09.571Z</lastmod>
+    <lastmod>2024-09-23T13:00:20.387Z</lastmod>
   </url>
   <url>
     <loc>https://aml4td.org/chapters/contributing.html</loc>