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)
- Identifiability and structural inference for highdimensional diffusion matrices (M. Reiß, A. Rohde)
- Semiparametric approach to structural adaptive estimation (A. Rohde, V. Spokoiny)