diff --git a/code.qmd b/code.qmd
index d00519c..7c2bbd6 100644
--- a/code.qmd
+++ b/code.qmd
@@ -3,6 +3,8 @@ title: "Code"
 toc: true
 ---
 
+![](figs/linocut_mountaintops.png)
+
 This page contains code snippets for algorithms in the book, sometimes in multiple languages. Click on the language icons to view and download the code.
 
 #### Chapter 1 - The Bayesics
@@ -24,7 +26,7 @@ This page contains code snippets for algorithms in the book, sometimes in multip
 #### Chapter 9 - Gibbs sampling
 
 |                                             |                                                                                                                                                                                                              |                                                                                                                                                                                          |     |
-|---------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----|
+|---------------------|-----------------|-----------------|-----------------|
 | Gibbs sampling from a multivariate normal   | [![Julia](figs/julialogo.svg){alt="Julia" fig-alt="Gibbs sampling from a multivariate normal - Julia" fig-align="left" width="20"}](https://gist.github.com/mattiasvillani/e10f75403abbd992e28d6427777fbb03) |                                                                                                                                                                                          |     |
 | Gibbs sampling for mixture of normals       | [![Julia](figs/julialogo.svg){alt="Julia" fig-alt="Gibbs sampling for mixture of normals - Julia" fig-align="left" width="20"}](https://gist.github.com/mattiasvillani/92e82ca32b6c5334983eef3fe95b8045)     | [![R](figs/Rlogo.png){alt="R" fig-alt="Gibbs sampling for mixture of normals - R" fig-align="left" width="20"}](https://gist.github.com/mattiasvillani/27187865da917ba7fe29170c03a367c6) |     |
 | Gibbs sampling for mixture of Poissons      | [![Julia](figs/julialogo.svg){alt="Julia" fig-alt="Gibbs sampling for mixture of Poissons - Julia" fig-align="left" width="20"}](https://gist.github.com/mattiasvillani/d71fbadc3a431109e82f1f843a09fa7b)    |                                                                                                                                                                                          |     |
@@ -51,7 +53,7 @@ This page contains code snippets for algorithms in the book, sometimes in multip
 #### Chapter 17 - Dynamic models and sequential inference
 
 |                                        |                                                                                                                                                                                                              |     |     |
-|----------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----|-----|
+|--------------------|------------------|------------------|------------------|
 | Kalman filter and parameter estimation | [![Julia](figs/julialogo.svg){alt="Julia" fig-alt="Gibbs sampling from a multivariate normal - Julia" fig-align="left" width="20"}](https://gist.github.com/mattiasvillani/4a461587c037d257d7099b7675aa0ddf) |     |     |
 
 : {.striped }
diff --git a/docs/code.html b/docs/code.html
index 0ee9d8c..89c10cf 100644
--- a/docs/code.html
+++ b/docs/code.html
@@ -138,6 +138,7 @@ <h1 class="title">Code</h1>
 
 </header>
 
+<p><img src="figs/linocut_mountaintops.png" class="img-fluid"></p>
 <p>This page contains code snippets for algorithms in the book, sometimes in multiple languages. Click on the language icons to view and download the code.</p>
 <section id="chapter-1---the-bayesics" class="level4">
 <h4 class="anchored" data-anchor-id="chapter-1---the-bayesics">Chapter 1 - The Bayesics</h4>
diff --git a/docs/figs/linocoumixturemountain.png b/docs/figs/linocoumixturemountain.png
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diff --git a/docs/figs/linocutMixture.png b/docs/figs/linocutMixture.png
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index 0000000..9cb7b15
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diff --git a/docs/figs/linocutMixturePerson.png b/docs/figs/linocutMixturePerson.png
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index 0000000..a0e0b5f
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diff --git a/docs/figs/linocut_forest.png b/docs/figs/linocut_forest.png
new file mode 100644
index 0000000..e3f9237
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diff --git a/docs/figs/linocut_mountaintops.png b/docs/figs/linocut_mountaintops.png
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index 0000000..a1b8846
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diff --git a/docs/figs/linocut_water.png b/docs/figs/linocut_water.png
new file mode 100644
index 0000000..798deb1
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diff --git a/docs/halloferrors.html b/docs/halloferrors.html
index 2f38e49..b64af1e 100644
--- a/docs/halloferrors.html
+++ b/docs/halloferrors.html
@@ -93,7 +93,7 @@
   </li>  
   <li class="nav-item">
     <a class="nav-link" href="./code.html" rel="" target="">
- <span class="menu-text">code</span></a>
+ <span class="menu-text">Code</span></a>
   </li>  
   <li class="nav-item">
     <a class="nav-link" href="./interactive.html" rel="" target="">
@@ -138,6 +138,7 @@ <h1 class="title">Hall of Typos</h1>
 
 </header>
 
+<p><img src="figs/linocut_water.png" class="img-fluid"></p>
 <p>The following people 🙏 have kindly reported typos and errors in the book (ordered by the number of typos found):</p>
 <ul>
 <li>Alice Jonason, Stockholm University</li>
diff --git a/docs/index.html b/docs/index.html
index 75e6f03..3f60e8f 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -136,8 +136,9 @@ <h1 class="title">Bayesian Learning</h1>
 
 </header>
 
+<p><img src="figs/linocutMixturePerson.png" class="img-fluid"></p>
 <p>This is the home for the book <strong>Bayesian Learning</strong>, which is still work in progress. The book is currently used for the course <a href="https://github.com/mattiasvillani/BayesLearnCourse">Bayesian Learning</a> at Stockholm University.</p>
-<p>A <a href="[pdf/BayesBook.pdf](https://github.com/mattiasvillani/BayesianLearningBook/raw/main/pdf/BayesBook.pdf)">pdf</a> of the book will always be available, even after the book gets published.</p>
+<p>A <a href="https://github.com/mattiasvillani/BayesianLearningBook/raw/main/pdf/BayesBook.pdf">pdf</a> of the book will always be available, even after the book gets published.</p>
 <p>The <a href="./notebooks.html">Notebooks</a> tab contains Quarto/Jupyter/Pluto notebooks for the chapters in the book.</p>
 <p>The <a href="./code.html">Code</a> tab contains code for some algorithms used in the book.</p>
 <p>The <a href="./interactive.html">Interactive</a> tab contains interactive Observable widgets.</p>
diff --git a/docs/interactive.html b/docs/interactive.html
index 84c0c62..04a7584 100644
--- a/docs/interactive.html
+++ b/docs/interactive.html
@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 
-<title>Bayesian Learning Book - Code</title>
+<title>Bayesian Learning Book - Interactive</title>
 <style>
 code{white-space: pre-wrap;}
 span.smallcaps{font-variant: small-caps;}
@@ -123,7 +123,7 @@
 
 <header id="title-block-header" class="quarto-title-block default">
 <div class="quarto-title">
-<h1 class="title">Code</h1>
+<h1 class="title">Interactive</h1>
 </div>
 
 
@@ -138,6 +138,7 @@ <h1 class="title">Code</h1>
 
 </header>
 
+<p><img src="figs/linocut_forest.png" class="img-fluid"></p>
 <p>This page contains interactive widgets for the book.</p>
 <section id="chapter-1---the-bayesics" class="level4">
 <h4 class="anchored" data-anchor-id="chapter-1---the-bayesics">Chapter 1 - The Bayesics</h4>
diff --git a/docs/notebooks.html b/docs/notebooks.html
index a56c45b..661ed8e 100644
--- a/docs/notebooks.html
+++ b/docs/notebooks.html
@@ -138,6 +138,7 @@ <h1 class="title">Notebooks</h1>
 
 </header>
 
+<p><img src="figs/linocoumixturemountain.png" class="img-fluid"></p>
 <p>This page contains a set of notebooks in Julia, R and Python for some of the data analyses presented in the book.</p>
 <section id="chapter-1---the-bayesics" class="level4">
 <h4 class="anchored" data-anchor-id="chapter-1---the-bayesics">Chapter 1 - The Bayesics</h4>
diff --git a/docs/search.json b/docs/search.json
index 35d1b73..bf5c82a 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -205,7 +205,7 @@
   {
     "objectID": "interactive.html",
     "href": "interactive.html",
-    "title": "Code",
+    "title": "Interactive",
     "section": "",
     "text": "This page contains interactive widgets for the book.\n\nChapter 1 - The Bayesics\n\n\n\n\nThe Bernoulli distribution\n\n\n\n\n\nMaximum likelihood iid Bernoulli data\n\n\n\n\n\nBayes’ theorem for events\n\n\n\n\n\n\n\n\nChapter 2 - One-parameter models\n\n\n\n\nBayesian inference for iid Bernoulli data\n\n\n\n\n\n\n\n\nChapter 3 - Multi-parameter models\n\n\nChapter 4 - Priors\n\n\nChapter 5 - Regression\n\n\nChapter 6 - Prediction and Decision making\n\n\nChapter 7 - Normal posterior approximation\n\n\nChapter 8 - Classification\n\n\nChapter 9 - Gibbs sampling\n\n\nChapter 10 - Markov Chain Monte Carlo simulation\n\n\nChapter 11 - Variational inference\n\n\nChapter 12 - Regularization\n\n\nChapter 13 - Mixture models and Bayesian nonparametrics\n\n\nChapter 14 - Model comparison and variable selection\n\n\nChapter 15 - Gaussian processes\n\n\nChapter 16 - Interaction models\n\n\nChapter 17 - Dynamic models and sequential inference\n\n\n\n\nKalman filter and parameter estimation"
   },
diff --git a/figs/linocoumixturemountain.png b/figs/linocoumixturemountain.png
new file mode 100644
index 0000000..15b8605
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diff --git a/figs/linocutMixture.png b/figs/linocutMixture.png
new file mode 100644
index 0000000..9cb7b15
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diff --git a/figs/linocutMixturePerson.png b/figs/linocutMixturePerson.png
new file mode 100644
index 0000000..a0e0b5f
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diff --git a/figs/linocut_forest.png b/figs/linocut_forest.png
new file mode 100644
index 0000000..e3f9237
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diff --git a/figs/linocut_mountaintops.png b/figs/linocut_mountaintops.png
new file mode 100644
index 0000000..a1b8846
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diff --git a/figs/linocut_water.png b/figs/linocut_water.png
new file mode 100644
index 0000000..798deb1
Binary files /dev/null and b/figs/linocut_water.png differ
diff --git a/halloferrors.qmd b/halloferrors.qmd
index 637ac8d..51d446d 100644
--- a/halloferrors.qmd
+++ b/halloferrors.qmd
@@ -3,6 +3,8 @@ title: "Hall of Typos"
 format: html
 ---
 
+![](figs/linocut_water.png)
+
 The following people 🙏 have kindly reported typos and errors in the book (ordered by the number of typos found):
 
 -   Alice Jonason, Stockholm University
diff --git a/index.qmd b/index.qmd
index b23eff0..7b786fb 100644
--- a/index.qmd
+++ b/index.qmd
@@ -4,10 +4,11 @@ title-block-banner: false
 toc: false
 ---
 
-This is the home for the book **Bayesian Learning**, which is still work in progress. 
-The book is currently used for the course [Bayesian Learning](https://github.com/mattiasvillani/BayesLearnCourse) at Stockholm University.
+![](figs/linocutMixturePerson.png)
 
-A [pdf]([pdf/BayesBook.pdf](https://github.com/mattiasvillani/BayesianLearningBook/raw/main/pdf/BayesBook.pdf)) of the book will always be available, even after the book gets published.
+This is the home for the book **Bayesian Learning**, which is still work in progress. The book is currently used for the course [Bayesian Learning](https://github.com/mattiasvillani/BayesLearnCourse) at Stockholm University.
+
+A [pdf](https://github.com/mattiasvillani/BayesianLearningBook/raw/main/pdf/BayesBook.pdf) of the book will always be available, even after the book gets published.
 
 The [Notebooks](notebooks.qmd) tab contains Quarto/Jupyter/Pluto notebooks for the chapters in the book.
 
@@ -16,15 +17,16 @@ The [Code](code.qmd) tab contains code for some algorithms used in the book.
 The [Interactive](interactive.qmd) tab contains interactive Observable widgets.
 
 ### Contents
-1. The Bayesics
-2. Single-parameter models
-3. Multi-parameter models
-4. Priors
-5. Regression
-6. Prediction and Decision making
-7. Normal posterior approximation
-8. Classification
-9. Posterior simulation
+
+1.  The Bayesics
+2.  Single-parameter models
+3.  Multi-parameter models
+4.  Priors
+5.  Regression
+6.  Prediction and Decision making
+7.  Normal posterior approximation
+8.  Classification
+9.  Posterior simulation
 10. Variational inference
 11. Regularization
 12. Model comparison
@@ -33,6 +35,6 @@ The [Interactive](interactive.qmd) tab contains interactive Observable widgets.
 15. Interaction models
 16. Mixture models
 17. Dynamic models and sequential inference\
-Appendix: Some Mathematical results
+    Appendix: Some Mathematical results
 
 Thanks to [all](halloferrors.qmd) who found typos and error in the book.
diff --git a/interactive.qmd b/interactive.qmd
index b32b73a..aa67862 100644
--- a/interactive.qmd
+++ b/interactive.qmd
@@ -1,8 +1,10 @@
 ---
-title: "Code"
+title: "Interactive"
 toc: true
 ---
 
+![](figs/linocut_forest.png)
+
 This page contains interactive widgets for the book.
 
 #### Chapter 1 - The Bayesics
diff --git a/notebooks.qmd b/notebooks.qmd
index 90d7ce8..ecbd705 100644
--- a/notebooks.qmd
+++ b/notebooks.qmd
@@ -2,6 +2,8 @@
 title: "Notebooks"
 ---
 
+![](figs/linocoumixturemountain.png)
+
 This page contains a set of notebooks in Julia, R and Python for some of the data analyses presented in the book.
 
 #### Chapter 1 - The Bayesics