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MAT-51706 Bayesian Methods, 6 cr |
Robert Piche
No implementations
Exam.
Completion parts must belong to the same implementation
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Introduction to Bayesian data-analysis theory and applications.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Probability theory basis of Bayesian methods. | ||
2. | Data analysis: inference, parameter estimation, regression, model comparison | ||
3. | Numerical methods, MCMC | ||
4. | Decision theory. |
Course | O/R |
MAT-20500 Probability Calculus | Obligatory |
MAT-33310 Statistics | Recommended |
Course | Corresponds course | Description |
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