Applied Probability Theory
Investigation of basic questions of probability theory:

Consistent designation of priorprobabilities using differential geometry

Outlier tolerant parameter estimates

Correlated random tests

Simulation of hierarchic models

Numerical methods for highdimensional, multimodal probability densities

Badly conditioned inversion problems
Results are applied in the following fields:

Analysis of results generated by Quantum Monte Carlo

Complex data analysis in experimental physics

Ellipsometry

Tomography, Abel inversion

Massspectroscopy

Deconvolution and reconstruction of spectral functions
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