Remove slide content where possible, improve overview transitions

index.qmd

@@ -173,11 +173,7 @@ col_yellow <- "#FCE135"
 
 ::::
 
-## Overview of the Thesis {#sec-overview}
+## Overview of the Thesis {#sec-overview transition="fade" transition-speed="slow"}
-
-::: {.r-stack}
-
-::: {.fragment .fade-in-then-out}
 
 <table style="width: 100%; border-collapse: separate; border-spacing: 0 1em; border: none;">
   <tr style="border: none;">
@@ -238,9 +234,7 @@ col_yellow <- "#FCE135"
   </tr>
 </table>
 
-:::
+## Overview of the Thesis {transition="fade" transition-speed="slow" visibility="uncounted"}
-
-::: {.fragment .fade-in-then-out}
 
 <table style="width: 100%; border-collapse: separate; border-spacing: 0 1em; border: none;">
   <tr style="border: none;">
@@ -301,9 +295,7 @@ col_yellow <- "#FCE135"
   </tr>
 </table>
 
-:::
+## Overview of the Thesis {transition="fade" transition-speed="slow" visibility="uncounted"}
-
-::: {.fragment .fade-in-then-out}
 
 <table style="width: 100%; border-collapse: separate; border-spacing: 0 1em; border: none;">
   <tr class = "greyed-out" style="border: none;">
@@ -364,9 +356,6 @@ col_yellow <- "#FCE135"
   </tr>
 </table>
 
-:::
-
-:::
 
 ## Overview
 
@@ -1730,8 +1719,7 @@ for( t in 1:T ) {
 &nbsp;&nbsp;&nbsp;&nbsp;$\boldsymbol \beta_{t}     = K \boldsymbol \beta_{0} \odot \boldsymbol {SoftMax}\left( -  \boldsymbol \eta_{t} \odot \boldsymbol R_{t} + \log( \boldsymbol \eta_{t}) \right)$
 
 &nbsp;&nbsp;&nbsp;&nbsp;$\boldsymbol w_{t}(\boldsymbol P) = \underbrace{\boldsymbol B(\boldsymbol B'\boldsymbol B+ \lambda (\alpha \boldsymbol D_1'\boldsymbol D_1 + (1-\alpha) \boldsymbol D_2'\boldsymbol D_2))^{-1} \boldsymbol B'}_{\boldsymbol{\mathcal{H}}} \boldsymbol B \boldsymbol \beta_{t}$
-
+<p style="margin:0em;">}</p>
-} 
 
 :::
 
@@ -1775,20 +1763,14 @@ Data Generating Process of the [simple probabilistic example](#simple_example):
 
 ## QL Deviation
 
-Deviation from best attainable QL (1000 runs). 
-
 ![](assets/crps_learning/pre_vs_post.gif) 
 
 ## CRPS vs. Lambda
 
-CRPS Values for different $\lambda$ (1000 runs)
-
 ![](assets/crps_learning/pre_vs_post_lambda.gif)
 
 ## Knots
 
-CRPS for different number of knots (1000 runs)
-
 ![](assets/crps_learning/pre_vs_post_kstep.gif)
 
 ::::
@@ -1799,8 +1781,6 @@ CRPS for different number of knots (1000 runs)
 
 ## Comparison to EWA and ML-Poly
 
-The same simulation carried out for different algorithms (1000 runs):
-
 <center>
 <img src="assets/crps_learning/algos_constant.gif">
 </center>