add dominik schrempf

munihac · Sep 23, 2024 · 53de913 · 53de913
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diff --git a/content/2024/programme.html b/content/2024/programme.html
@@ -206,4 +206,38 @@ <h4>Ioannis Katsaros</h4>
       </p>
     </div>
   </div>
+
+  <div class="row py-3">
+    <div class="col-md-12">
+      <a name="DominikSchrempf" />
+      <div class="d-flex flex-row flex-wrap">
+        <img
+          src="img/2024/Dominik_Schrempf.jpg"
+          class="rounded-circle me-4 mb-2"
+          style="height: 96px; width: 96px; object-fit: cover" />
+        <div>
+          <h5>Workshop</h5>
+          <h3>Statistical inference with Markov chain Monte Carlo algorithms</h3>
+          <h4>Dominik Schrempf</h4>
+        </div>
+      </div>
+    </div>
+    <div class="col-md-12">
+      <p>
+        Haskell excels in finding programming errors during compile time. We also know Haskell for being lazy and for
+        treating values as immutable. Lazyness and immutability are likely reasons why numerical and statistical
+        analysis of data have never been a particular strength of Haskell.
+      </p>
+      <p>
+        I have used Haskell extensively during my career as a researcher and have tried to combine the benefits of the
+        strong type system of Haskell with blazing-fast statistical estimators.
+      </p>
+      <p>
+        In this workshop, we will have a look at a specific class of algorithms used for statistical inference: Markov
+        chain Monte Carlo algorithms. We will get a basic understanding of such algorithms, and, discuss how Haskell can
+        aid us in avoiding common user errors. In particular, we will use the Haskell library <code>mcmc</code> to
+        perform some exemplary analyses
+      </p>
+    </div>
+  </div>
 </div>
diff --git a/content/2024/schedule.html b/content/2024/schedule.html
@@ -105,7 +105,13 @@ <h2>Schedule</h2>
     </tr>
     <tr>
       <th scope="row">13:30</th>
-      <td class="hacking" colspan="2">Hack on</td>
+      <td class="hacking">Hack on</td>
+      <td class="workshop">
+        (Workshop)
+        <a href="2024.html#DominikSchrempf"
+          >Dominik Schrempf: <i>Statistical inference with Markov chain Monte Carlo algorithms</i></a
+        >
+      </td>
     </tr>
     <tr>
       <th scope="row">15:30</th>