NMAK20003U Statistics A
MSc Programme in Statistics
- Conditional distributions based on densities, including conditioning in the Gaussian distribution
- Hierarchical/mixed effects models (theoretical and practical aspects)
- Bayesian models and computations, e.g., conjugate priors, maximum a posteriori estimation, credible intervals
- Software for mixed effects models and Bayesian computations
Knowledge
- Conditional densities and their relations to joint and marginal densities
- Principles behind Bayesian statistics
- Differences between fixed and random effects in mixed effects models
- Methods for computations in posterior distributions
Skills: Ability to
- do computations with conditional and marginal densities, in particular with prior and posterior densities and with the Gaussian distribution
- carry out Bayesian estimation and inference with explicit formulas (when available) and with appropriate sampling techniques
- carry out analyses (Bayesian and frequentistic) with mixed effecs models and hierarchical models, using appropriate software
Competencies: Ability to
- identify relevant mixed effects models and hierarchical models (for concrete data examples)
- present and discuss results from analyses statistical based on mixed effecs models and hierarchical models
- choose between principles for statistical analysis
- Category
- Hours
- Lectures
- 28
- Preparation
- 121
- Theory exercises
- 28
- Exam Preparation
- 25
- Exam
- 4
- Total
- 206
Written feedback will be given on mandatory assignments in order for students to improve their subsequent assignments
Oral feedback will be given to students if they make presentations of exercises in class
- Credit
- 7,5 ECTS
- Type of assessment
- Practical written examination, 4 hours under invigilationPart of the exam consists of data analysis which must be carried out with software used in the course. A USB-stick with data is handed out to the students along with the assignment sheet.
- Exam registration requirements
There will be three group assignments. The students must hand-in these assignments, in groups up to three students, and have them approved.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
Written assignment online. 4 hours and 30. min.
If the mandatory assignments have not been approved during the course, the non-approved assignment(s) must be handed in no later than three weeks before the beginning of the re-exam week. The assignments must be approved before the re-exam.
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.
Course information
- Language
- English
- Course code
- NMAK20003U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 2
- Schedule
- B
- Course capacity
- No limit
- Course is also available as continuing and professional education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Helle Sørensen (5-6e6b72726b4673677a6e34717b346a71)