Dr. Alexander Silbersdorff (formerly Alexander Sohn)
My research focuses on the application of various statistical modelling approaches. First and foremost, I use distributional regression to analyse economic inequalities and consider the scope and limits of deep learning algorithms with respect to their predictive capacity. In addition, I have worked on a variety of questions from different fields - ranging from using informative priors in a Bayesian mixed methods framework in order to estimate the magnitude of rebound effects of energy usage to employing non-parametric Hidden Markov Models in a frequentist framework in order to analyse the diving behaviour of whales. After all the best thing about working at this statistics chair is that you to play in a lot of people's research backyards.
Click here for a list of my published work and current working papers as well as data and software compiled for my research efforts.
I have taught various courses on statistics, from non-technical introductions to statistics to advanced statistics courses on state of the art regression techniques. In addition to courses in statistics, I have also taught the course Heterodox Economics during the winter semester for the past years.
Click here for a list of courses I have taught so far.
Until September 2018 I offered statistical consultancy for PhD students of the following graduate schools: GAUSS, GGG, GFA, GSGG. Click here for more information.
Occasionally I also offer seminars and consultancies regarding technological changes for works council and staff council members in collaboration with the BTQ Kassel.
Vertrauensdozent der Rosa Luxemburg Stiftung
To those critical minds that have attained or hope to attain scholarschips by the Rosa Luxemburg Stiftung, I am happy to lend my support.