Convergence rates for Markov chains V09


Examiner: Bitr. professor Johan Jonasson

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  Program
How long does it take for an aperiodic irreducible Markov chain to come close to stationarity? This interesting theoretical question has become increasingly important with the entrance of advanced MCMC algorithms on powerful computers. Since Markov chains are such diverse objects, one usually has to focus on special cases or classes of special cases. One important such class is Markov chains on the symmetric group, so called card shuffling chains. These will be our main focus during the course. After an introduction of the topic, giving the basic definitions and results, the course will evolve around a number of special cases. Rougly the material can be divided into four main parts:

  News

  Schedule

We meet in MVL 14 on Mondays 13.15-15.00, Thursdays 10.00-11.45 and Fridays 13.15-15.00. This also goes for weeks 19-22, except, of course, May 21 and 22 (Kristi himmelfärdsdag + klämdag). For compensation, I have also booked Wednesday May 20, 10.00-11.45 (in MVL 15!) and Monday June 1, 13.15-15.00.

  Literature

Lecture notes. My ambition is that this file will keep pace with the lectures, but I make no promises in this respect. Of course, comments and corrections are most welcome. In any case, my lecture notes are based on a number of sources. These are all available electronically, via the author's homepages, Chalmers Library or both. The references are:


  Examination

The student who wants to graduate from the course and recieve 7.5 hp, will read some extra material related to the course and give a lecture about it. I have the following papers to suggest for extra material, but you may also suggest a topic of your own.



Johan Jonasson <jonasson@chalmers.se>
Last modified: April 2, 2009