added citation info to training materials

GP.qmd

@@ -1,6 +1,6 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Introduction to Gaussian Processes for Time Dependent Data"
+subtitle: "VectorByte Methods Training"
+title: "Introduction to Gaussian Processes for Time Dependent Data"
 editor: source
 author: "The VectorByte Team (Parul Patil, Virginia Tech)"
 title-slide-attributes:

GP_Notes.qmd

@@ -1,11 +1,15 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Introduction to Gaussian Processes for Time Dependent Data"
-author: "The VectorByte Team (Parul Patil, Virginia Tech)"
+title: "VectorByte Methods Training:  Introduction to Gaussian Processes for Time Dependent Data (notes)"
+author:
+  - name: Parul Patil 
+    affiliation: Virginia Tech and VectorByte
 title-slide-attributes:
   data-background-image: VectorByte-logo_lg.png
   data-background-size: contain
   data-background-opacity: "0.2"
+citation: true
+date: 2024-07-21
+date-format: long
 format:
   html:
     toc: true

GP_Practical.qmd

@@ -1,7 +1,11 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Practical: Introduction to Gaussian Processes for Time Dependent Data"
-author: "The VectorByte Team (Parul Patil, Virginia Tech)"
+title: "VectorByte Methods Training:  Introduction to Gaussian Processes for Time Dependent Data (Practical)"
+author:
+  - name: Parul Patil 
+    affiliation: Virginia Tech and VectorByte
+citation: true
+date: 2024-07-21
+date-format: long
 format:
   html:
     toc: true

Stats_review.qmd

@@ -1,7 +1,12 @@
 ---
-title: VectorByte Methods Training
-subtitle: Probability and Statistics Fundamentals
-author: The VectorByte Team (Leah R. Johnson, Virginia Tech)
+title: "VectorByte Methods Training: Probability and Statistics Fundamentals"
+author:
+  - name: Leah R. Johnson 
+    url: https://lrjohnson0.github.io/QEDLab/leahJ.html
+    affiliation: Virginia Tech and VectorByte
+citation: true
+date: 2024-07-01
+date-format: long
 format:
   html:
     toc: true

VB_RegDiagTrans.qmd

@@ -1,6 +1,6 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Review of Diagnostics and Transformations for Regression Models"
+subtitle: "VectorByte Methods Training"
+title: "Review of Diagnostics and Transformations for Regression Models"
 author: "The VectorByte Team (Leah R. Johnson, Virginia Tech)"
 title-slide-attributes:
   data-background-image: VectorByte-logo_lg.png

VB_RegDiagTrans_practical.qmd

@@ -1,7 +1,12 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Practical: Diagnostics and Transformations"
-author: "The VectorByte Team (Leah R. Johnson, Virginia Tech)"
+title: "VectorByte Methods Training: Regression Diagnostics and Transformations (practical)"
+author:
+  - name: Leah R. Johnson 
+    url: https://lrjohnson0.github.io/QEDLab/leahJ.html
+    affiliation: Virginia Tech and VectorByte
+citation: true
+date: 2024-07-01
+date-format: long
 format:
   html:
     toc: true

VB_RegRev.qmd

@@ -1,11 +1,12 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Regression Review"
-author: "The VectorByte Team (Leah R. Johnson, Virginia Tech)"
-title-slide-attributes:
-  data-background-image: VectorByte-logo_lg.png
-  data-background-size: contain
-  data-background-opacity: "0.2"
+title: "VectorByte Methods Training: Regression Review"
+author:
+  - name: Leah R. Johnson 
+    url: https://lrjohnson0.github.io/QEDLab/leahJ.html
+    affiliation: Virginia Tech and VectorByte
+citation: true
+date: 2024-07-01
+date-format: long
 format:
   html:
     toc: true

VB_TimeDepData.qmd

@@ -1,6 +1,6 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Regression Methods for Time Dependent Data"
+subtitle: "VectorByte Methods Training"
+title: "Regression Methods for Time Dependent Data"
 author: "The VectorByte Team (Leah R. Johnson, Virginia Tech)"
 title-slide-attributes:
   data-background-image: VectorByte-logo_lg.png

VB_TimeDepData_practical.qmd

@@ -1,7 +1,12 @@
 ---
-title: "VectorByte Methods Training"
-subtitle: "Practical: Intro to Time Dependent Data"
-author: "The VectorByte Team (Leah R. Johnson, Virginia Tech)"
+title: "VectorByte Methods Training: Regression Methods for Time Dependent Data (practical)"
+author:
+  - name: Leah R. Johnson 
+    url: https://lrjohnson0.github.io/QEDLab/leahJ.html
+    affiliation: Virginia Tech and VectorByte
+citation: true
+date: 2024-07-01
+date-format: long
 format:
   html:
     toc: true

docs/Stats_review.html

@@ -6,9 +6,10 @@
 
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
-<meta name="author" content="The VectorByte Team (Leah R. Johnson, Virginia Tech)">
+<meta name="author" content="Leah R. Johnson">
+<meta name="dcterms.date" content="2024-07-01">
 
-<title>VectorByte Training 2024 - VectorByte Methods Training</title>
+<title>VectorByte Training 2024 - VectorByte Methods Training: Probability and Statistics Fundamentals</title>
 <style>
 code{white-space: pre-wrap;}
 span.smallcaps{font-variant: small-caps;}
@@ -254,21 +255,33 @@ <h2 id="toc-title">On this page</h2>
 
 <header id="title-block-header" class="quarto-title-block default">
 <div class="quarto-title">
-<h1 class="title">VectorByte Methods Training</h1>
-<p class="subtitle lead">Probability and Statistics Fundamentals</p>
+<h1 class="title">VectorByte Methods Training: Probability and Statistics Fundamentals</h1>
 </div>
 
 
+<div class="quarto-title-meta-author">
+  <div class="quarto-title-meta-heading">Author</div>
+  <div class="quarto-title-meta-heading">Affiliation</div>
+
+    <div class="quarto-title-meta-contents">
+    <p class="author"><a href="https://lrjohnson0.github.io/QEDLab/leahJ.html">Leah R. Johnson</a> </p>
+  </div>
+  <div class="quarto-title-meta-contents">
+        <p class="affiliation">
+            Virginia Tech and VectorByte
+          </p>
+      </div>
+  </div>
 
 <div class="quarto-title-meta">
 
+
     <div>
-    <div class="quarto-title-meta-heading">Author</div>
+    <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-             <p>The VectorByte Team (Leah R. Johnson, Virginia Tech) </p>
-          </div>
+      <p class="date">July 1, 2024</p>
+    </div>
   </div>
-
 
 
   </div>
@@ -340,7 +353,7 @@ <h1>Random Variables (RVs)</h1>
 <li>discrete (numbers of items or successes)</li>
 <li>continuous (heights, times, weights)</li>
 </ul>
-<p>We usually use capital letters – e.g.&nbsp;<span class="math inline">X</span>, <span class="math inline">Y</span>, sometimes with bold or with subscripts – to denote the RVs. In contrast we use lower case letters, e.g.&nbsp;<span class="math inline">x</span>, <span class="math inline">y</span>, <span class="math inline">k</span>, to denote the values that the RV takes. For instance, lets say that the heights of the woman at Virginia Tech are the RV, <span class="math inline">X</span>, and <span class="math inline">X</span> has a normal distribution with mean 62 inches and variance 6<span class="math inline">^2</span>, i.e., <span class="math inline">X \sim \mathrm{N}(62,6^2)</span> distribution. Say we then observe the heights of 3 individuals drawn from this distribution – we would write this as: <span class="math inline">x=(</span> 64.5, 64, 60.1 <span class="math inline">)</span>.</p>
+<p>We usually use capital letters – e.g.&nbsp;<span class="math inline">X</span>, <span class="math inline">Y</span>, sometimes with bold or with subscripts – to denote the RVs. In contrast we use lower case letters, e.g.&nbsp;<span class="math inline">x</span>, <span class="math inline">y</span>, <span class="math inline">k</span>, to denote the values that the RV takes. For instance, lets say that the heights of the woman at Virginia Tech are the RV, <span class="math inline">X</span>, and <span class="math inline">X</span> has a normal distribution with mean 62 inches and variance 6<span class="math inline">^2</span>, i.e., <span class="math inline">X \sim \mathrm{N}(62,6^2)</span> distribution. Say we then observe the heights of 3 individuals drawn from this distribution – we would write this as: <span class="math inline">x=(</span> 60.3, 66.6, 56.1 <span class="math inline">)</span>.</p>
 <p><br> <br> </p>
 </section>
 <section id="probability-distributions" class="level1">
@@ -564,7 +577,7 @@ <h1>Probability Distributions in <code>R</code></h1>
 <div class="cell">
 <div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">rnorm</span>(<span class="dv">3</span>, <span class="at">mean=</span><span class="dv">0</span>, <span class="at">sd=</span><span class="dv">1</span>) <span class="do">## random draws</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
-<pre><code>[1] -1.3733147 -0.5293865  0.9294630</code></pre>
+<pre><code>[1]  1.2016687 -0.0771098 -0.1688577</code></pre>
 </div>
 </div>
 <div class="cell">
@@ -763,7 +776,17 @@ <h2 class="anchored" data-anchor-id="hypothesis-testing-and-confidence-intervals
 </section>
 </section>
 
-</main> <!-- /main -->
+<div id="quarto-appendix" class="default"><section class="quarto-appendix-contents" id="quarto-citation"><h2 class="anchored quarto-appendix-heading">Citation</h2><div><div class="quarto-appendix-secondary-label">BibTeX citation:</div><pre class="sourceCode code-with-copy quarto-appendix-bibtex"><code class="sourceCode bibtex">@online{r. johnson2024,
+  author = {R. Johnson, Leah},
+  title = {VectorByte {Methods} {Training:} {Probability} and
+    {Statistics} {Fundamentals}},
+  date = {2024-07-01},
+  langid = {en}
+}
+</code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre><div class="quarto-appendix-secondary-label">For attribution, please cite this work as:</div><div id="ref-r. johnson2024" class="csl-entry quarto-appendix-citeas" role="listitem">
+R. Johnson, Leah. 2024. <span>“VectorByte Methods Training: Probability
+and Statistics Fundamentals.”</span> July 1, 2024.
+</div></div></section></div></main> <!-- /main -->
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