PREV

• Week 1; Introduction to Bayesian Statistics
• Week 2; Application of Bayesian Statistics
• Week 3; Benifits of Bayesian Statistics
• Week 4; Prior information and Prior distributions
• Week 5; Prior distributions types
• Week 6; Posterior distributions: The posterior mean, median and mode
• Week 7; Loss functions
• Week 8; Bayes estimators under loss functions
• Week 9; Variances of univariate posterior distributions
• Week 10; Variances of bivariate posterior distributions
• Week 11; Methods of elicitation of prior distributions
• Week 12; Methods of elicitation of non informative factor
• Week 13; Bayesian Hypothesis Testing
• Week 14; Bayes factor
• Week 15; The highest density region
• Week 16; Posterior probability of the hypothesis.