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Statistik: mehr als Erbsen zählen

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Research Interests

  • Spatial and spatio-temporal point process modelling with applications in biology and epidemiology
  • Gaussian process modelling and analysis with various applications
  • Bayesian methods and Markov Chain Monte Carlo techniques
  • Regression methods for very large, high-dimensional data
  • Classification and clustering methods for genetic data


In SFB 876 "Providing Information by Resource-Constrained Data Analysis"

In SFB 823 "Statistical modelling of nonlinear dynamic processes"

Sponsored by German Research Foundation (DFG)

  • Messung und statistische Analyse von Clusterphänomenen bei Signalproteinen in der Plasmamembran
    (Prof. Dr. Katja Ickstadt, Peter Verveer: Max-Planck-Insitute for molecular Physiology)

Former Projects