NMAK11011U Advanced Probability Theory 2 (VidSand2)
MSc Programme in Actuarial Mathematics
MSc Programme in Mathematics
MSc Programme in Mathematics-Economics
MSc Programme in Statistics
MSc Programme in Mathematics with a minor subject
- Signed measures, absolute continuity and singularity of measures, the Radon-Nikodym Theorem.
- Conditional expectations given a sigma-algebra.
- Martingales and submartingales in discrete time, the martingale convergence theorem, stopping times and optional sampling.
- Central Limit Theorem for martingales.
- Brownian motion: definition, continuity, variation and quadratic variation, non-differentiability, the law of the iterated logarithm.
Basic knowledge of the topics covered by the course: Decompositions of signed measures, conditional expectations, martingale theory, CLT for martingales, and definition, existence and path properties of the Brownian motion.
- describe and prove the results on decomposition of signed measures.
- use the calculation rules for conditional expectations.
- show whether a sequence of random variables is a martingale or a submartingale.
- derive and describe the main results on martingales.
- apply the results on martingales to concrete examples.
- describe the foundation for the construction of stochastic processes in continuous time.
- describe the basic properties of the sample paths for Brownian motion.
- discuss the relation between decomposition of measures and conditional expectations.
- relate and compare the results on martingales.
- use martingale CLT and understand the result compared to the classical CLT.
- discuss the concept of sample paths with a view to constructing continuous stochastic processes.
- Give an oral presentation of a specific topic within the theory covered by the course.
Academic qualifications equivalent to a BSc degree is recommended.
- Theory exercises
- Project work
Written feedback in the form of comments to the compulsory
Oral feedback during exercise classes, as a response to the
contribution of the students to the solution process of the
Detailed oral feedback after the oral exam.
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- 7,5 ECTS
- Type of assessment
- Oral examination, 30 minutes
- Type of assessment details
- 30 min preparation. All aids allowed during preparation.
- Exam registration requirements
To participate in the exam the compulsory assignment must be approved and valid.
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
As the ordinary exam. If the compulsory assignment was not approved before the ordinary exam it must be (re)submitted. It must be approved three weeks before the beginning of the re-exam week.
Criteria for exam assesment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
- Course code
- 7,5 ECTS
- Full Degree Master
- 1 block
- Block 2
- Course capacity
- No limit
The number of seats may be reduced in the late registration period
- Study Board of Mathematics and Computer Science
- Department of Mathematical Sciences
- Faculty of Science
- Ernst Hansen (8-6b786e6774796b744673677a6e34717b346a71)