diff --git a/Aalto2023.Rmd b/Aalto2023.Rmd
index 92dc3301..20efc87a 100644
--- a/Aalto2023.Rmd
+++ b/Aalto2023.Rmd
@@ -199,7 +199,7 @@ the book chapters relaed to the next lecture and assignment.
| 7\. Hierarchical models and exchangeability | [BDA3 Chapter 5](BDA3_notes.html#ch5) | [2023 Lecture 7.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c1014690-1133-4232-ad0f-b0a400ba228d),
[2023 Lecture 7.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=196c3a91-3ba2-4469-ab15-b0a400ca6074),
[2022 Project info](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=8f0158f9-6abf-4ada-bdb7-af3800d139de),
[Slides 7](slides/BDA_lecture_7.pdf) | [Assignment 7](assignments/assignment7.html) | `r sdate("Lecture date", "Week8")` | `r sdate("Assignment closes (23:59)", "Week8")` |
| 8\. Model checking & cross-validation | [BDA3 Chapter 6](BDA3_notes.html#ch6), [BDA3 Chapter 7](BDA3_notes.html#ch7), [Visualization in Bayesian workflow](https://doi.org/10.1111/rssa.12378), [Practical Bayesian cross-validation](https://arxiv.org/abs/1507.04544) | [2023 Lecture 8.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=785ece8a-16ef-4f64-8134-b0ab00cbd1e8),
[2023 Lecture 8.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=456afda7-0e6d-4903-b0df-b0ab00da8f1e),
[Slides 8a](slides/BDA_lecture_8a.pdf),[Slides 8b](slides/BDA_lecture_8b.pdf) | Start project work | `r sdate("Lecture date", "Week9")` | `r sdate("Assignment closes (23:59)", "Week9")` |
| 9\. Model comparison, selection, and hypothesis testing | [BDA3 Chapter 7 (not 7.2 and 7.3)](BDA3_notes.html#ch7),
[Practical Bayesian cross-validation](https://arxiv.org/abs/1507.04544) | [2023 Lecture 9.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a4961b5a-7e42-4603-8aaf-b0b200ca6295),
[2023 Lecture 9.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a4796c79-eab2-436e-b55f-b0b200dac7ce),
[Slides 9](slides/BDA_lecture_9.pdf) | [Assignment 8](assignments/assignment8.html) | `r sdate("Lecture date", "Week10")` | `r sdate("Assignment closes (23:59)", "Week10")` |
-| 10\. Decision analysis | [BDA3 Chapter 9](BDA3_notes.html#ch9) | [2022 Lecture 10.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a22aab9c-953c-4ea8-b6ec-af4d00c9fe58),
[Slides 10a](slides/BDA_lecture_10a.pdf), [Slides 10b](slides/BDA_lecture_10b.pdf) | [Assignment 9](assignments/assignment9.html) | `r sdate("Lecture date", "Week11")` | `r sdate("Assignment closes (23:59)", "Week11")` |
+| 10\. Decision analysis | [BDA3 Chapter 9](BDA3_notes.html#ch9) | [2023 Lecture 10.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c4ab903a-bc22-416f-99c8-b0b900c9f3f7), [2023 Lecture 10.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=2a6d7c79-7797-4a6d-8efa-b0b900d8f24c),
[Slides 10a](slides/BDA_lecture_10a.pdf), [Slides 10b](slides/BDA_lecture_10b.pdf) | [Assignment 9](assignments/assignment9.html) | `r sdate("Lecture date", "Week11")` | `r sdate("Assignment closes (23:59)", "Week11")` |
| 11\. Normal approximation, frequency properties | [BDA3 Chapter 4](BDA3_notes.html#ch4) | [2022 Lecture 11.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=8cde4d40-1b77-4110-af98-af5400ca38b5),
[2022 Lecture 11.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=d83f6553-1516-475f-8898-af5400dd7b50),
[Slides 11](slides/BDA_lecture_11.pdf) | Project work | `r sdate("Lecture date", "Week12")` | `r sdate("Assignment closes (23:59)", "Week12")` |
| 12\. Extended topics | Optional: BDA3 Chapters [8](BDA_notes.hml#ch8), [14-18](BDA_notes.hml#ch14), and 21 | Optional:
[Old Lecture 12.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=e998b5dd-bf8e-42da-9f7c-ab1700ca2702),
[Old Lecture 12.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c43c862a-a5a4-45da-9b27-ab1700e12012),
[Slides 12](slides/BDA_lecture_12.pdf) | Project work | `r sdate("Lecture date", "Week13")` | `r sdate("Assignment closes (23:59)", "Week13")` |
| 13\. Project evaluation | | | | Project presentations: `r params$project_presentations` | Evaluation week |
@@ -535,8 +535,8 @@ Decision analysis. BDA3 Ch 9. + Laplace approximation and asymptotics. BDA Ch 4.
- see [reading instructions for Chapter 4](BDA3_notes.html#ch4)
- **Lecture `r paste(sday("Lecture date", "Week11"), sdate("Lecture date", "Week11"))` 14:15-16, hall T2, CS building**
- [Slides 10a](slides/BDA_lecture_10a.pdf), [Slides 10b](slides/BDA_lecture_10b.pdf)
- - Videos: [2022 Lecture 10.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a22aab9c-953c-4ea8-b6ec-af4d00c9fe58)
- on decision analysis. BDA3 Ch 9, and [2022 Lecture 11.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=8cde4d40-1b77-4110-af98-af5400ca38b5) on normal approximation (Laplace approximation), large sample theory, and counter examples, BDA3 Ch 4.
+ - Videos: [2023 Lecture 10.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c4ab903a-bc22-416f-99c8-b0b900c9f3f7)
+ on decision analysis. BDA3 Ch 9, and [2023 Lecture 10.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=2a6d7c79-7797-4a6d-8efa-b0b900d8f24c) on Laplace approximation, and asymptotics, BDA3 Ch 4.
- Make and submit [Assignment 9](assignments/assignment9.html).
**`r sday("Assignment closes (23:59)", "Week11")` `r sdate("Assignment closes (23:59)", "Week11")` 23:59**
- Review Assignment 8 done by your peers before 23:59
diff --git a/slides/BDA_lecture_10b.pdf b/slides/BDA_lecture_10b.pdf
index 5854c394..2714e61e 100644
Binary files a/slides/BDA_lecture_10b.pdf and b/slides/BDA_lecture_10b.pdf differ
diff --git a/slides/BDA_lecture_10b.tex b/slides/BDA_lecture_10b.tex
index 10c58708..cb8af74e 100644
--- a/slides/BDA_lecture_10b.tex
+++ b/slides/BDA_lecture_10b.tex
@@ -1163,7 +1163,7 @@
\item a consistent way to add prior information
\end{itemize}
\item<3-> A lot of machine learning is not pure frequentist or
- Bayesian
+ Bayesian, but there is often a probabilistic flavor
\end{itemize}
\end{frame}