english version

Research student: The Institute for Mathematical Stochastics (research group Prof. Axel Munk)  is looking for a student assistant (20-60 h/months) in the project A1 of the RTG 2088. More information is available here.


Arbeitsgruppe "Angewandte und Mathematische Statistik"

  • Werner, F. (2018).
    Adaptivity and oracle inequalities in linear statistical inverse problems: a (numerical) survey. New Trends in Parameter Identification for Mathematical Models, 291-316.
  • König, C., Munk, A., Werner, F. (2018).
    Multidimensional multiscale scanning in exponential families: Limit theory and statistical consequences. arXiv:1802.07995. Submitted.
  • Proksch, K., Werner, F., Munk, A. (2018).
    Multiscale scanning in inverse problems. The Annals of Statistics, arXiv:1611.04537. To appear.
  • Enikeeva, F., Munk, A., Werner, F. (2018).
    Bump detection in heterogeneous Gaussian regression. arXiv:1504.07390 Bernoulli, 24, 1266-1306.
  • Li, Housen, Werner, Frank (2017).
    Empirical Risk Minimization as Parameter Choice Rule for General Linear Regularization Methods arXiv:1703.07809. Submitted.
  • Hohage, T., Werner, F. (2016).
    Inverse Problems with Poisson Data: statistical regularization theory, applications and algorithms. Inverse Problems, 32, 093001 (56pp).
  • König, C., Werner, F., Hohage, T (2016).
    Convergence Rates for Exponentially Ill-Posed Inverse Problems with Impulsive Noise. SIAM Journal on Numerical Analysis, 54(1), 341-360.
  • Munk, A., Werner, F. (2015).
    Discussion of “Hypotheses testing by convex optimization” Electron. J. Statist., 9, 1720-1722.