The course will introduce students to the basic ideas of Bayesian statistics using simple statistical models and will present some computational methods needed, such as the simulation of Markov chains. Regression analysis, hierarchical models and generalized linear models will also be introduced from the Bayesian viewpoint.
Contents
See objectives.
Teaching language
Finnish
Modes of study
Evaluation
Numeric 1-5.
Recommended year of study
1. year autumn
1. year spring
2. year autumn
2. year spring
Study materials
Robert, C. P., Casella, G., Monte Carlo Statistical Methods, 2nd ed. Springer 2005.
O’Hagan, A., Forster, J., Bayesian Inference, 2nd ed., volume 2B of "Kendall’s Advanced Theory of Statistics". Arnold 2004.
Gelman, A. et al, Bayesian Data Analysis, 2nd ed. Chapman & Hall / CRC 2004.