exercises for Wed Jan 27
1. On Wed Jan 20 Nils gave a general overview of maximum likelihood theory (under the assumption that the given model is correct), along with a sketch of some proofs. Check out the slides. Céline went through exercise N4 with various details, some R code and handwritten notes have been made available.
2. We are still not allowed to have physical lectures next week, so we will continue with zoom lectures for now (in the assigned lecturing hours: Wednesdays from 12:15 to 15): https://uio.zoom.us/j/64015240359. Note that these are live lectures, without any recording. Some key words for next lecture: ML behaviour outside models, delta method, sandwich variance matrix, AIC, AIC^*, examples.
3. Exercises for Wed Jan 27: do exercise N2 from the Nils collection, which also requires basic understanding of N1 (from which we will go through some - but not all - questions).