Beskjeder
During the exam, I will be available on email, geirs@math.uio.no, for questions/clarifications.
Good luck!
Geir
A solution to the exam is given here.
Due to that many of the questions provided text answers, these solutions was not be the only ones that could give high scores.
Recording from today: recording
A new version of the solutions to the trial exam is put out. Corrections to 2b (derivative wrt beta_k) and to 7e (BIC values) are included.
Due to that we did not have time to go through all the trial exam problems, we take a session also next Tuesday at the usual time, zoom link: https://uio.zoom.us/j/62460983954
A "trial exam" is now available from the course web-page. We will use the following Tuesdays to go through these. For next week we will look at problems 1-4
In general, the following guidelines apply in courses at the Department of Mathematics:
- The examination lasts 4 hours. In addition, you will have an extra 30 minutes to scan and upload your PDF.
- All examination aids are allowed (e.g. books, online resources, scientific programming tools, etc.).
- It...
I will be available on zoom, https://uio.zoom.us/j/68066050023 on Friday 26th 14.00-15.00 for help with the second submission of the compulsory exercise.
Geir
Note that you do not need to have the correct answer. It is enough that you have tried. If you do not know how to solve it, write that in the submision, but perhaps with a sentence on what you do not understand.
The first compulsory assignment is now made available. Deadline is Thursday 18th February at 14.30!!!
This course will be given in English.
The first week(s) the teaching will be digital, a zoom link will be provided within the "Schedule" page. For the first lecture, we will use https://uio.zoom.us/j/67716379094.
Lectures will be recorded. Regarding exercises, this will not be recorded, but solutions of selected exercises will be published on the course web page
The textboo for the course will be
Azzalini & Scarpa (2012). Data Analysis and Data Mining: An Introduction. Oxford University Press
The syllabus will be approximately as last year, see syllabus for spring 2020
Suppring literature will be
An Introduction to Statistical Learning with applications to R
av James, G., Witten, D., Hastie, T., Tibshirani, R.