The most current research project focuses on the impact of bad weather on voting behaviour in electoral systems with split-ticket voting with special reference to European integration. As such it includes state-of-the-art methods such as:
  • Monte Carlo Markov Chain Simulations
  • Bayesian Item Response Analysis for concave, semi-heteroscedastic parameter spaces involving gamma-distributed priors

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  • livestock experiments with double-blind treatment and non-treatment group selection based on sex
  • seemingly, but totally unrelated probit regression focussing on the novel data-generating process as informed by theSchartz Metterclume Framework