spring 2017
STA-3001 Computer-intensive Statistics - 10 ECTS
Course content
The course includes stochastic simulation, bootstrapping, Bayes theory, Laplace methods, the EM algorithm and Markov chain Monte Carlo (MCMC) techniques. The course is lectured in 5 parts. After each part the students must work independently with mandatory homework exercises. These must be approved to take the final exam, and the grades will be a part of the total evaluation.Objectives of the course
The course includes stochastic simulation, bootstrapping, Bayes theory, Laplace methods, the EM algorithm and Bayesian methods like Markov cahin Monte Carlo (MCMC) and Integrated nested Laplace approximations (INLA). After each part the students must work independently with mandatory homework exercises.
The candidate shall:
- obtain a solid knowledge and understanding of stochastic simulation, bootstrapping, Bayes theory, Laplace methods, the EM algorithm, MCMA and INLA techniques.
- be able to apply these concepts to solve theoretical problems.
- be able to apply these concepts in independent homework exercises using computers.
Error rendering component
- About the course
- Campus: Tromsø |
- ECTS: 10
- Course code: STA-3001
- Responsible unit
- Institutt for matematikk og statistikk
- Kontaktpersoner
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