M.Sc. Thomas Muschinski

Research Interests

I enjoy using a variety of statistical methods to postprocess numerical weather
prediction models. Some recent focuses have been:

  • Generating probabilistic forecasts from deterministic inputs using machine learning.
  • Increasing the flexibility of traditional parametric postprocessing models by combining these with random forests.
  • Developing joint distributional regressions for multivariate postprocessing.