Assignments for 2023
- For Friday September 8, 2023, read Review of Intro Stats.
- For Wednesday September 13, 2023, read Agresti, Sections 1.1 through 1.4. Also start reading the accompanying course notes.
- For Friday September 15, 2023, continue reading the course notes to accompany Agresti Chapter 1. You may also read Section 1.6 (Bayes) in Agresti, although that is not required right now.
- For Wednesday September 27, 2023, read the course notes about the binomial distribution and course notes about the Poisson distribution.
- For Friday September 29, 2023, read the course notes about fuzzy procedures.
- For Monday October 2, 2023, read the first course notes about chi-square tests for contingency tables.
- For Wednesday October 4, 2023, read the first course notes about maximum likelihood estimation. Also re-read the previous assignment because those notes have changed.
- For Friday October 6, 2023, read the second course notes about maximum likelihood estimation.
- For Friday, October, 13, 2023, read Agresti, Chapter 4, Sections 1–3 and the course notes accompanying it.
- For Monday, October, 16, 2023, read the rest of Agresti Chapter 4.
- For Wednesday, October, 18, 2023, read about Bayes. Section 1.6 in Agresti and the course notes on Bayes via Markov chain Monte Carlo.
- For Wednesday, October, 25, 2023, read about multinomial response and ordered categorical. Sections 8.1 and 8.2 in Agresti and the notes on Agresti Chapter 8. Read first part (multinomial response) for Wednesday and rest for Friday.
- For Friday, November, 3, 2023, read Agresti, Chapter 8, Sections 8.1.1 through 8.1.4 and 8.2.1 through 8.2.4, which go with the notes on Agresti Chapter 8.
- For Monday, November 6, 2023, read Agresti, Chapter 4, Sections 4.3.3 and 4.7, which go with the notes on overdispersion.
- For Friday, November 10, 2023, start reading notes on exponential families of distributions. There will be lecture about these but the lecture will make a lot more sense if you have read over these notes. Try to stay ahead of the lecture on this.
- For Monday, November 27, 2023, read Agresti, Chapter 9, Sections 9.1 through 9.4, which go with the notes on Agresti Chapter 9.
- For Friday, December 1, 2023, read notes on model selection and model averaging.
- For Monday, December 4, 2023, read notes on graphical models.
- For Friday, December 8, 2023, read notes on models at infinity or what to do when the MLE for canonical parameters does not exist.