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Bayesian modelling B (Math 34920)

Unit descriptions

MATH 34920

News

  • Starting Wednesday 30 Jan, the lectures are at 12:00 on Wednesdays, 12:00 on Thursdays, and 09:00 on Fridays.

Handouts

30 Jan
Sections 1-3
7 Feb
Sections 4-5
20 Feb
Sections 6-8

Board notes

Problem sheets

  • Sheet 1. Please do questions 1, 2, 4 and 5 and hand them in at the lecture on Wednesday 13 Feb.
  • Solutions 1
  • Sheet 2. Please do questions 3, 4 and 6 and hand then in at the lecture on Wednesday 20 Feb. It is also definitely worth your time looking at question 7 (WinBUGS). It will develop your understanding of the material significantly, while also being a very useful piece of knowledge to leave University with!
  • Supplementary material for sheet 2. Since Bayesian A changed and I didn't notice, here are some scribblings to help you get the required distributions in Q6. Please let me know of any "typos" here, and you may want to use a more instructive formula for the posterior parameters in the "normal-gamma" section of the Wikipedia page on conjugate priors.
  • Solutions 2
  • Sheet 3. Please do any two questions and hand them in at the lecture to my office (4.7 maths) by 5pm on Friday 1 MarchTuesday 5 March. Questions 2, 3 and 4 are excerpts from old exam papers.
  • Solutions 3

Computing