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update video and slide links and schedule
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avehtari committed Nov 20, 2023
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Expand Up @@ -200,8 +200,8 @@ the book chapters relaed to the next lecture and assignment.
| 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), <br> [2023 Lecture 8.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=456afda7-0e6d-4903-b0df-b0ab00da8f1e), <br>[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), <br> [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), <br> [2023 Lecture 9.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a4796c79-eab2-436e-b55f-b0b200dac7ce), <br>[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) | [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), <br>[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\. Variable selectio with projpred, project presentation example | [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), <br> [2022 Lecture 11.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=d83f6553-1516-475f-8898-af5400dd7b50), <br>[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: <br> [Old Lecture 12.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=e998b5dd-bf8e-42da-9f7c-ab1700ca2702), <br> [Old Lecture 12.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c43c862a-a5a4-45da-9b27-ab1700e12012), <br>[Slides 12](slides/BDA_lecture_12.pdf) | Project work | `r sdate("Lecture date", "Week13")` | `r sdate("Assignment closes (23:59)", "Week13")` |
| 11\. Variable selectio with projpred, project presentation example | [BDA3 Chapter 4](BDA3_notes.html#ch4) | [2023 Lecture 11.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=7ef70bc8-122b-4e86-80fa-b0c000cb5511), [2023 Lecture 11.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a2b3bcb8-240e-4e6c-b90e-b0c000d92770), [2023 Lecture 11.3](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=ae634732-1f4e-4568-8529-b0c000e0f153), <br>[Slides 11a](slides/BDA_lecture_11a.pdf), [Slides Project Presentation](project_work/BDA_presentation_example.pdf), [Slides 11 extra](slides/slides_extra.pdf) | Project work | `r sdate("Lecture date", "Week12")` | `r sdate("Assignment closes (23:59)", "Week12")` |
| 12\. TBA | | Optional: <br> <br> <br> | 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 |

### 1) Course introduction, BDA 3 Ch 1, prerequisites assignment
Expand Down Expand Up @@ -548,14 +548,12 @@ Decision analysis. BDA3 Ch 9. + Laplace approximation and asymptotics. BDA Ch 4.
`r sdate("Lecture date", "Week11", offset = 4)` 10-12.
- Start reading Chapter 4, see instructions below.

### 11) Variable selection with projpred, project presentation example, what's next
### 11) Variable selection with projpred, project presentation example, extra

Normal approximation (Laplace approximation), and large sample theory
and counter examples. BDA3 Ch 4.

- **Lecture `r paste(sday("Lecture date", "Week12"), sdate("Lecture date", "Week12"))` 14:15-16, hall T2, CS building**
- [Slides 11a](slides/BDA_lecture_11a.pdf)
- Videos:
- [Slides 11a](slides/BDA_lecture_11a.pdf), [Slides Project Presentation](project_work/BDA_presentation_example.pdf), [Slides 11 extra](slides/slides_extra.pdf)
- Videos: [2023 Lecture 11.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=7ef70bc8-122b-4e86-80fa-b0c000cb5511) on variable selecion with projpred, [2023 Lecture 11.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a2b3bcb8-240e-4e6c-b90e-b0c000d92770) on project presentations, [2023 Lecture 11.3](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=ae634732-1f4e-4568-8529-b0c000e0f153) on rest of BDA3, ROS, and Bayesian Workflow
- No new assignment. Work on project. TAs help with projects.
- Review Assignment 9 done by your peers before 23:59
`r sdate("Feedback closes (23:59)", "Week10")`, and reflect on
Expand All @@ -565,25 +563,11 @@ and counter examples. BDA3 Ch 4.
`r sdate("Lecture date", "Week12", offset = 3)` 12-14,
`r sdate("Lecture date", "Week12", offset = 4)` 10-12.

### 12) extra material + overview of BDA3 Ch 8, 14-18, 21

Frequency evaluation of Bayesian methods, hypothesis testing and
variable selection. Overview of modeling data collection, BDA3 Ch 8,
linear models, BDA Ch 14-18, lasso, horseshoe and Gaussian processes,
BDA3 Ch 21.
### 12) TBA

- **Lecture `r paste(sday("Lecture date", "Week13"), sdate("Lecture date", "Week13"))` 14:15-16, hall T2, CS building**
- [Slides 12](slides/BDA_lecture_12.pdf)
- These lectures are optional, but especially the lecture on
hypothesis testing and variable selection is useful for project
work.
- Previous year videos [Lecture
12.1](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=e998b5dd-bf8e-42da-9f7c-ab1700ca2702)
on frequency evaluation, hypothesis testing and variable selection
and [Lecture
12.2](https://aalto.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=c43c862a-a5a4-45da-9b27-ab1700e12012)
overview of modeling data collection, BDA3 Ch 8, linear models, BDA
Ch 14-18, lasso, horseshoe and Gaussian processes, BDA3 Ch 21.
- TBA
- Work on project. TAs help with projects. **Project deadline
`r params$project_dl` 23:59**
- [TA sessions](assignments.html#TA_sessions)
Expand Down

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