Case Studies in Bayesian Statistics


Advanced Bayesian statistical modelling from an applied perspective; problems and data from a range of application areas; focus on statistical thought and practice with in-depth examination of applications; statistical topics drawn from multilevel modelling, randomization and experimental design, causal inference, meta analysis, item response models, models for categorical data, time series, model assessment and criticism, scientific communication. Instructor consent.