Projects
In total, we propose five projects in mathematical statistics partly in conjunction with statistical learning theory, each of which is jointly led by two or three principal investigators.
- Multiple testing under unspecified dependency structure (G. Blanchard, T. Dickhaus, V. Spokoiny)
- Multi-scale analysis of graphs (G. Blanchard, U. von Luxburg)
- Efficient nonparametric regression when the support is bounded (H. Drees, N. Neumeyer, M. Reiß)
- Semiparametric structural analysis in regression estimation (N. Neumeyer, V. Spokoiny)
- Structural inference for high-dimensional covariance matrices (H. Dette, A. Rohde, M. Reiß)