2012:2
Fall 2012
Causal inference in register studies
In this course we introduce causal inference with main focus on two approaches; i) the potential outcome framework/ Rubin Causal Model and ii) Causal inference with graphical models.
Identification of causal effects in the two approaches is studied. Non and semi-parametric estimators of causal effects commonly associated with the potential outcome framework will be presented. A general introduction to graphical models is also given.
Weeks 45-03, 50% tempo http://www.usbe.umu.se/english/dept/stat/education/courses/course/?code=...
Identification of causal effects in the two approaches is studied. Non and semi-parametric estimators of causal effects commonly associated with the potential outcome framework will be presented. A general introduction to graphical models is also given.
Weeks 45-03, 50% tempo http://www.usbe.umu.se/english/dept/stat/education/courses/course/?code=...
Bayesian Learning
The course introduces basic concepts, ideas and methods of Bayesian inference. It is coordinated with a second-year master's course in the programme 'Statistics and Data Mining', and the focus with be on models and methods in the field of data mining and machine learning, but most of the course content is of general statistical interest.
The course will be in English and will be given in the period October 30 - December 6, 2012.
Asymptotic Theory, Uppsala 2012
Starting November 5, I will give a course in asymptotic theory at the PhD level in Statistics. The course book is Ferguson, T.S. A
Course in Large Sample Theory, Chapman and Hall 1996. Lectures are at 10.15-14 on Mondays, ending December 17. Examination is through take home exercises. For further information, see the attached schedule.
