Week 4
Uncertainty quantification and hypothesis testing with bootstrap.
No. |
Title |
Slides |
Additional |
|---|---|---|---|
| 07 | Uncertainty Quantification | Raw |
The in-class test will take place this week, during the Wednesday lecture.
Lecture Recordings
Lecture recordings are only available for IDS students via the University of Edinburgh virtual learning environment. To access the recordings, go to the Introduction to Data Science area on LEARN ULTRA and select Lecture Recordings under the Course Content section. This will open echovideo where you will find a list of all lecture recordings to watch once they become available.
Some of this material is required and some of it is optional. We expect you to watch the required videos and read the required reading. This required material is part of the course so it may be assessed in the assignments and it may not be covered in the lectures. The optional material is extra reading for those that are interested!
| IMS: Chp 12 - Confidence intervals with bootstrapping | Required | |
| ModernDive: Chp 7 - Sampling | Optional | |
| ModernDive: Chp 8 - Bootstrapping and Confidence Intervals | Optional | |
| ISM: Chp 3 - Confidence intervals via Bootstrapping | Optional | |
| Bootstrapping Supplementary Recording | Required | |
| StatQuest: Bootstrapping main ideas | Optional |
**Note**: the ModernDive chapters are a longer read, but contains some useful details on how to use `tidyverse` for bootstrapping, so if you want to read more on the topic, we recommend you focus on Chapters 8.4.2, 8.4.3 and 8.5. Also, please note that the code examples in Chapter 3 from ISM rely on R packages different from the ones shown in class.
The lab sheet can be accessed the day before the workshop, and the solutions the day after the workshop.
Laboratory Title |
Links |
Date |
|---|---|---|
| Lab03: critical use of genAI | Friday |
The in-class test (inclass-test-A) will take place this week, during the Wednesday lecture. You can find more information about the assignment here.