Exercises for Friday November 2
- On Friday the 26th of October I discussed the rest of Chapter 5 (Hierarchical models) with particular emphasis on the Normal model which is the topic of Section 5.4. As last time, I spent some time on the Empirical Bayes solution in that setting. In addition, I used an extension of a similar hierarchical model as a demonstration of Gibbs sampling (the example in Section 11.6). See R-script giving code for the example that was discussed in the lecture. Exam Project 2015 exercise 2 was discussed, and served as another demonstration of hierarchical models (with geometrically distributed data).
- Next Friday I will continue with the last topic of the course Loss, Risk and a bit of decision theory. There will only be two hours of lecture/exercises next time, since I am giving a seminar talk at BI.
- Remember to hand in the Mandatory assignment!
- An extra exercise session: I propose to organise an extra exercise session before the exam. This will take place at some time between the 10th and the 19th of December. I will make a doodle where you can select between some proposed dates and times.
- Check out R-scripts for Exam Project 2015 exercise 2 and for the "Four diets" example. The diet data are found on page 288 in the book (and also in the R-script).
- Exercises:
- Exercise 1 from the exam in 2017 (four hours exam)
- All exercises from previous weeks (if you have not done them yet). Remember that all exercises that have been given in the course are considered as part of the curriculum.
Published Oct. 26, 2018 2:20 PM
- Last modified Oct. 30, 2018 5:29 PM