Advanced probability
SS 2026
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Lecture: |
Monday, 12-14, M5 |
| Tutorials: | Wednesday, 10-12, SRZ204 |
| Lecturer: | Chiranjib Mukherjee |
| Assistance: | |
| Contents: |
In this course we will cover some ergodic results with applications to Markov chains, central limit theorems and large deviations
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| Prerequisites: | As a prerequisite, participants are expected to have a working knowledge of measure-theoretic probability |
| Learnweb: | Please enroll in the Learnweb course for this lecture. |
| KommVV: | |
| Course asessment: | To be admitted to the exam it is sufficient to earn 50% of the points on the exercise sheets. The type of exam will be announced in the lecture. |