Curriculum
The curriculum is what is covered in the lectures and by the exercises. Note that some classnotes that are made on the board are not necessarily available online, but these are also part of the course material.
The curriculum is based on sections in following two books, one of which is available as e-books from the NTNU library when you are in the NTNU network:
- D. Gamerman and H.F. Lopes (2006). Markov chain Monte Carlo - Stochastic Simulation for Bayesian Inference, 2nd edition.
The course consists of three parts. The following is a provisional list of sections covering the curriculum for each of the three parts:
- Part 1: Stochastic simulation and an introduction to Bayesian inference.
- Givens and Hoeting: 1-1.8 (mostly repetition), 6.1, 6.2-6.2.3.2, 6.3.1, 6.4.1.
- Gamerman and Lopes: 1-1.5.
- Part 2: Bayesian inference and Markov chain Monte Carlo.
- Givens and Hoeting: 7-7.3.3.
- Gamerman and Lopes: 2.1, 2.2-2.2.2, 2.3.1, 2.3.3, 2.4, 4.1-4.6, 5.1-5.2, 6.1-6.4.4.
- Part 3: Bootstrapping and the EM algorithm.
- Givens and Hoeting: 4.1, 4.2-4.2.1, 9.1, 9.2-9.2.4, 9.3, 9.3.1, 9.3.2.2, 9.5.1, 9.8.
The following articles are also part of the curriculum:
- TBA