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Bayesian Statistics STAT-6227
Week 4; Prior information and Prior distributions
Week 4; Prior information and Prior distributions
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prior-distribution.docx (0.02 MB )
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Course Material
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.
Chapters
16
Department
Statistics
Teacher
Ms. Sadia Qamar