Stochastics II
Lecturer
Prof. Dr. Evgeny Spodarev
Teaching Assistant
Dr. Vitalii Makogin
Time and Place
Christmas break: 22.12.2018-6.01.2019
Lecture
Tuesday, 8:00 - 10:00 am, lecture room H12
Thursday, 10:00 - 12:00 am, lecture room H12
Exercise Session
Wednesday, 4:00 - 6:00 pm, lecture room H14
Type
4 hours lecture + 2 hours exercise
Credit points: 9
Prerequisites
Elementary Probability Calculus and Statistics, Stochastics I
Intended audience
Elective module:
Bachelor of Mathematics, Mathematical Biometrics, Mathematical Economics;
Master of Mathematics, Mathematical Economics
Content
The course Stochastics II gives an introduction to different classes of stochastic processes. Key aspects are:
- Counting processes and renewal processes; Poisson point process
- Wiener process
- Martingales
- Lévy processes
- Stationary processes in discrete time
We shall discuss analytic, geometric and asymptotic properties of stochastic models to provide the students with knowledge of statistical methods and simulation algorithms.
Requirements
50% of all homework credits and the final exam. For qualifying the obtained exercise points a registration with Moodle is required.
Final Exam
There is an oral exam. The first exams will take place on February 28th and March 4th.
The second exam will take place on April 4th.
Appointment: from 09:30 to 12:30 in the secretariat of the institute (He18, room no. 164). You have to come personally to get your registration signed. For the appointment is needed that you have previously registered in the university portal.
Lecture notes
The lecture notes for stochastics II can be found here.
Exercise sheets
The exercise sheets and scores will be published on Moodle.
Literature
Click here for the semester program.