english version
Nächster Vortrag im Stochastischen Kolloquium:
13.04.2018, 14:15, Dr. Paul Joubert (IMS-Alumni) (Berlin)

"Title: t.b.a.".
Dr. Yoav Zemel, EPF Lausanne, spends SNF Early Postdoc Mobility fellowship at IMS: The IMS welcomes Dr. Yoav Zemel, who is spending with us an 18-months research visit from February 1st, 2018 to July 31st, 2019. Dr. Zemel is funded by a Swiss National Science Foundation Early Postdoc Mobility fellowship for the project Uncertainty Quantification for Optimal Transport mentored by Prof. Axel Munk (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.