minor text changes

01_intro.md

@@ -24,7 +24,7 @@ After delivering the course, I plan to keep improving and expanding the material
 ```
 - If you enjoyed the content **and / or** learnt from it, please leave a 'star' to the [book's GitHub](https://github.com/elizavetasemenova/prob-epi) repository. 
 
-- If you are creating a written document (a paper, report, book chapter) where you use what you've learnt here, please cite
+- If you are creating a written document (a paper, report, book chapter) where you use what you've learnt here, please cite 
 
 ```
 @software{Semenova_Bayesian_Modelling_and_2024,

09_intro_to_Numpyro.ipynb

@@ -468,7 +468,7 @@
    "source": [
     "## Outro\n",
     "\n",
-    "NumPyro is a versatile library for probabilistic programming that combines the power of NumPy and Pyro. In this introductory tutorial, we've covered the basics of defining a probabilistic model, performing MCMC inference, and visualizing the results. As you delve deeper into probabilistic programming with NumPyro, you'll be able to build more complex and customized models for your specific applications. Happy modeling!"
+    "NumPyro is a versatile library for probabilistic programming that combines the power of NumPy and Pyro. In this introductory tutorial, we've covered the basics of defining a probabilistic model, performing MCMC inference, and visualizing the results. As you delve deeper into probabilistic programming with NumPyro, you'll be able to build more complex and customized models for your specific applications. Happy modelling!"
    ]
   },
   {

_config.yml

@@ -4,7 +4,7 @@
 title: Probabilistic Thinking, modelling and programming with applications in Epidemiology.
 author: Elizaveta Semenova
 email: [email protected]
-# copyright: "2024"  # Copyright year to be placed in the footer
+copyright: "2024"  # Copyright year to be placed in the footer
 logo: logo.png
 
 # Force re-execution of notebooks on each build.