Instructors: Prof. Dr. rer. nat. Michael Kohler; M.Sc. Selina Drews
Event type:
Lecture & Exercise
Org-unit: Dept. 04 - Mathematics
Displayed in timetable as:
Probability Theory
Subject:
Crediting for:
Hours per week:
6
Language of instruction:
German
Min. | Max. participants:
- | -
Course Contents:
Measure theoretical foundations, theory of integration, random variables, concepts of convergence, characteristic functions, stochastic independence, 0-1-laws, conditional expectations, martingales in discrete time, limit theorems: law of large numbers, central limit theorem.
Literature:
Bauer: Probability Theory
Billingsley: Probability and Measure
Elstrodt: Maß-und Integrationstheorie
Gänssler, Stute: Wahrscheinlichkeitstheorie
Klenke: Wahrscheinlichkeitstheorie
Preconditions:
recommended: Analysis, Integration Theory, Introduction to Stochastics
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