Lecture Winter Term 2016/2017

An Introduction to Measure Theoretic Probability

 

Instructor:
Dirk Brandes
Type:
MSc. Finance course

News:

There is a block course in the last week before the lecture regularly starts, so from 10th of Oct. until 14th of Oct.

The schedule is as follow:

  • Mon., 10.10.2016: Lecture: 8:30-12:15 He18, 2.20.
  • Tue., 11.10.2016: Lecture: 8:30-10:00 He18, 2.20; Tutorial: 10:45-12:15  He18, 2.20.
  • Wed., 12.10.2016: Lecture: 8:30-10:00 He18, 2.20; Exercise Class: 10:45-12:15 He18, 2.20.  
  • Thu., 13.10.2016: Lecture: 8:30-12:15 He18, 2.20.  
  • Fri., 14.10.2016: Lecture: 8:30-10:00 He18, 2.20; Exercises Class: 10:45-12:15 He18, 2.20.
Time and Venue:Schedule of the course:
  • Lecture: Monday, 10:00-12:00, He18 - 2.20
  • First regular* Lecture: 17/10/2016
  • Last Lecture: 12/12/2016
  • Exercise classFriday, 13:00-14:00, He18 - E20
  • First regular* Exercise class: 21/10/2016
  • Last Exercise class: 13/01/2017
  • Tutorial course: Friday, 12:00-13:00, He18 - E20
  • First regular* Tutorial course: 21/10/2016
  • Additional Tutorial: 9/01/2017
*after the block course week.

Final Exam:

written exam on Friday, 20th January 2017, 12:00 - 14:00, He18 - E20, 90 minutes. 

To participate in the written exam, you have to register at campusonline.uni-ulm.de until Monday, 16th of January 2017.

Prerequisites:

Analysis I+II and Linear Algebra I.

Contents:

This course covers the basic facts from probability in a measure-theoretic approach.

Specific topics are

  • Definition and properties of measure and Lebesgue integral.
  • The fundamentals of probability: probability space, random variables, conditional expectation, modes of convergence, convolutions and characteristic functions, central limit theorem.
  • An introduction to statistics: simple random sampling, introduction to estimation techniques.

 Literature:

A list of reference books would cover the following works:
  • H. Bauer, Measure and Integration Theory, De Gruyter Studies in Mathematics, 2011.
  • H. Bauer, Probability Theory, De Gruyter Studies in Mathematics, 2011.
  • P. Billingsley, Probability and Measure, Wiley, 2012.
  • W. Rudin, Real and Complex Analysis, McGraw-Hill International Editions, 1987.
  • J. Jacod & P. Protter, Probability Essentials, 2nd edition, Springer, 2004.
  • E. Kopp, J. Malczak & T. Zastawniak, Probability for Finance, Cambridge University Press, 2014.
  • R. Leadbetter, S. Cambanis, V. Pipiras, A Basic Course in Measure and Probability, Cambridge University Press, 2014.
  • A. N. Shiryaev, Probability, 2nd edition, Springer, 1995.
  • D. Williams, Probability with Martingales, Cambridge University Press, 1991.

Exercise sheets:

Moodle 

Lecture notes:

Moodle

Additional Material:

Refresher in Probability 1

Refresher in Probability 2