englisch Lehrstuhl für Statistik und ihre Anwendungen in Wirtschafts- und Sozialwissenschaften

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Prof. Dr. Göran Kauermann


Ludwigstr. 33
80539 München

Room: L 242
Phone: +49 89 2180 2220

Office hours:
on appointment

Curriculum Vitae

17.10.1965 Born in Hagen, Germany
1991 Graduation (Diplom) in Economic Mathematics, Technical University Berlin
1994 PhD in Statistics
1996 Visiting Scholar (Post-Doc), Department of Statistics, University of Chicago, USA
1998 - 2000 Assistant Professor (C1), Ludwig-Maximilians-University Munich
2000 Habilitation (Venia Legendi) in Statistics
2000 - 2003 Lecturer/ Senior Lecturer, Department of Statistics, University of Glasgow, Scotland
2003 - 2011 Full Professor of Statistics (C4, W3 since 2007), Department of Economics and Business Administration, University Bielefeld
2005 (Aug - Dec) Visting Professor, Department of Statistics, University of New South Wales, Sydney, Australia
2011 - present Full Professor of Statistics (W3), Head of Chair of Statistics - in Economics, Business Administration and Social Sciences, Department of Statistics, LMU Munich


  • Bauer, V., Fürlinger, K. and Kauermann, G. (2019):
    A Note on Parallel Sampling in Markov Graphs.
    Computational Statistics. doi: 10.1007/s00180-019-00880-4.
  • Shao, S. and Kauermann, G. (2019):
    Understanding price elasticity for airline ancillary services.
    Journal of Revenue and Pricing Management. doi:10.1057/s41272-018-00177-z.
  • Lebacher, M., Thurner, P. and Kauermann, G. (2018):
    Exploring Dependence Structures in the International Arms Trade Network: A Network Autocorrelation Approach.
    Statistical Modelling. doi.org/10.1177/1471082X18817673.
  • Thurner, P., Cranmer, S., Kauermann, G. and Schmid, C. (2018):
    Network Interdependencies and the Evolution of the International Arms Trade.
    Journal of Conflict Resolution. (to appear)
  • Kauermann, G. and Seidl, T. (2018):
    Data Science - A proposal for a Curriculum.
    International Journal of Data Science and Analytics. (to appear)
  • Bothmann, L., Menzel, A., Menze, B. and Kauermann, G. (2017):
    Automated Processing of Webcam Images for Phenological Classification.
    PLOS ONE 12(2): 1-23. doi:10.1371/journal.pone.0171918.
  • Schulze Waltrup, L. and Kauermann, G. (2017):
    Smooth Expectiles for Panel Data using Penalized Splines.
    Statistics and Computing 27(1): 271-282. doi:10.1007/s11222-015-9621-2.
  • Bruns, P., Paschedag, H. and Kauermann, G. (2016):
    Anerkannte wissenschaftliche Grundsätze zur Erstellung qualifizierter Mietspiegel.
    Zeitschrift für Miet- und Raumrecht 69: 669 - 679. doi:10.1515/zmr-2016-0902.
  • Kauermann, G., Thomschke, L. and Braun, R. (2016):
    Scheinargumente bei Mietspiegeldebatte - Was definiert „moderne Mietspiegel“?
    Zeitschrift für Wirtschaftspolitik 65(3). doi:10.1515/zfwp-2016-0020.
  • Kauermann, G. and Windmann, M. (2016):
    Mietspiegel heute zwischen Realität und statistischen Möglichkeiten.
    AStA Wirtschafts - und Sozialstatistisches Archiv. doi:10.1007/s11943-016-0197-x.
  • Kauermann, G., Becher H. and Maier, V. (2016):
    Exploring the Statistical Uncertainty in Acceptable Exposure Limit Values for Hexavalent Chromium Exposure (CR(VI)).
    Journal Of Exposure Science And Environmental Epidemiology. doi: 10.1038/jes.2017.4.
  • Kauermann, G. and Kuechenhoff, H. (2016):
    Statistik, Data Science und Big Data.
    AStA Wirtschafts - und Sozialstatistisches Archiv. doi:10.1007/s11943-016-0188-y.
  • Bothmann, L., Windmann, M. and Kauermann, G. (2016):
    Real Time Classification of Fish in Underwater Sonar Videos.
    Journal of the Royal Statistical Society: Series C (Applied Statistics). doi:10.1111/rssc.12139.
  • Brenner, T. and Kauermann, G. (2016):
    Specialization and Convergence of Industry-Specific Employment in Germany: A Linear Mixed-Model Approach with Spatial Components
    Regional Studies 50(2): 326-341. doi:10.1080/00343404.2014.920082.
  • Schulze Waltrup, L. and Kauermann, G. (2016):
    A Short Note on Quantile and Expectile Estimation in Unequal Probability Samples.
    Survey Methodology Vol. 42, No. 1, pp. 179-187.
  • Thiemichen, S., Friel, N., Caimo, A. and Kauermann, G. (2016):
    Bayesian Exponential Random Graph Models with Nodal Random Effects.
    Social Networks 46: 11-28. doi:10.1016/j.socnet.2016.01.002


Further publicationsnach oben

Editorial Duties

Further Activities

Forschungsinteressen / Research Interests

  • Nonparametric Models (Local Likelihood and Penalised Regression)
  • Semi- and nonparametric analysis
  • Generalized Linear Models
  • Generalized Mixed Models
  • Network Data Analysis nach oben

Responsible for content: Göran Kauermann