Sven Buhl

Technical University of Munich

Chair of Mathematical Statistics (Prof. Klüppelberg)

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

  • sven.buhl(at)tum.de

Research Interests

Extreme Value Theory:

  • Regularly varying space-time processes
  • Max-stable space-time processes, Brown-Resnick space-time processes
  • Space-time threshold models

IGSSE project REWAP/Water07 - Monitoring and Prediction of Regional Water Availability for Agricultural Production under the Influence of Climate Anomalies and Weather Extremes [details]:

  • Combination of data sets from different sources
  • Geostatistical interpolation methods (e.g. Kriging)

Publications

  • Buhl, S., and Klüppelberg, C.: Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes. Submitted, 2017. [more]
  • Buhl, S., and Klüppelberg, C.: Limit theory for the empirical extremogram of random fields. Submitted, 2017. [more]
  • Buhl, S., Davis, R.A., Klüppelberg, C, and Steinkohl, C.: Semiparametric estimation for isotropic max-stable space-time processes. Submitted, 2017. [more]
  • Boergens, E., Buhl, S., Dettmering, D., Klüppelberg, C., and Seitz, F.: Combination of Multi-Mission Altimetry Data Along the Mekong River with Spatio-Temporal Kriging. Journal of Geodesy, 91(5): 519-534, 2017. DOI: 10.1007/s00190-016-0980-z [more]
  • Buhl, S., and Klüppelberg, C.: Anisotropic Brown-Resnick space-time processes: estimation and model assessment. Extremes, 19(4): 627-660, 2016. DOI: 10.1007/s10687-016-0257-1 [more]
  • Buhl, S.: Modelling and Estimation of Extremes in Space and Time. Master's Thesis, 2013. [more]

Presentations

  • Buhl, S., and Davison, A.C.: Likelihood based change-point detection in samples of independent block maxima. Workshop on Risk Quantification and Extreme Values in Applications 2017, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2017-02-17
  • Buhl, S., Davis, R.A., Klüppelberg, C., and Steinkohl, C.: Semiparametric estimation for max-stable Brown-Resnick space-time processes. Conference on Conditional Independence Structures and Extremes 2016, Technische Universität München, Garching, Germany, 2016-10-13
  • Buhl, S., and Klüppelberg, C.: Estimation and assessment of anisotropic Brown-Resnick space-time models. German Probability and Statistics Day 2016, Ruhr-Universität Bochum, Bochum, Germany, 2016-03-02
  • Buhl, S., and Klüppelberg, C.: Estimation and assessment of anisotropic Brown-Resnick space-time models. CFE-CMStatistics, University of London, London, UK, 2015-12-12

Teaching

  • Lecture: Organisation for Life Insurance, WiSe 2015/2016
  • Lecture: Tutorial for Analysis für Informatik, WiSe 2015/2016
  • Lecture: Organisation for Health Insurance, SoSe 2015
  • Lecture: Tutorial for Statistik: Grundlagen, SoSe 2015
  • Seminar: Extreme Risk Analysis, WiSe 2014/2015