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• Week 1; Bayesian Statistics
• Week 2; Formulation of a decision problem
• Week 3; Randomized and non-randomized decision rules,
• Week 4; Benefits of Bayesian statistics,
• Week 5; The Bayesian Methods
• Week 6; Prior Distribution
• Week 7; Posterior distribution and its measures of central tendency
• Week 8; Risk function, optimality of decision rules
• Week 9; Utility theory
• Week 10; Loss function
• Week 11; Subjective probability and selection of prior distribution for Bayesian analysis
• Week 12; Bayesian analysis for statistical inference problems of estimation
• Week 13; Bayesian Hypothesis Testing
• Week 14; Bayesian confidence interval and prediction
• Week 15; Bayesian decision theory. Admissible and minimax decision rules
• Week 16; Complete class of decision rules.