Exercises for Wed Feb 27
1. We need to land on t_0 and t_1 for the exam project time window. The "first iteration" is t_0 = Wed June 5 and t_1 = Mon June 17. We converge to consensus next week.
2. On Wed Feb 20 I rounded off Chapter 3, with a bit of time for some of the application stories (who wrote Тихий Дон, what's the memory length of Ja vi elsker dette landet?), and went through several exercises, including the log-polynomial modelling for mhaq data, from Exam 2017 Exercise 1.
3. On Wed Feb 27 I plan to go through sections 4.1-4.2, the core story of Chapter 4. After that we're in for the last third of the course, namely Chapters 5, 6, 7, about tolerance regions around models, about FIC, and about model averaging.
4. For Wed Feb 27 attempt models for the football data, with n = 254 matches, giving (y1, y2, fifa1, fifa2). Take the two-parameter model with Poisson rates \lambda_0 \exp(\beta fifaratio) as "the standard", and try models that do better than this one, in terms of AIC. Then do Exercise 2 from Exam 2015, with n = 799 nerve impulse data, where you need to go through models with 1, 2, 3 parameters.