Since October 2023, I am Assistant Professor of Statistics at TU Delft, Netherlands. Previously, I was interim professor of Computational Statistics at RWTH Aachen University, Germany.
My research interests include:
  • Multiscaling stochastic processes
  • Nonstationary time series
  • Changepoint testing
  • Nonparametric testing and estimation
  • High-frequency financial econometrics

Recent Publications and Preprints


Projection inference for high-dimensional covariance matrices with structured shrinkage targets


Fabian Mies, Ansgar Steland

Electronic Journal of Statistics, vol. 18(1), 2024, pp. 1643-1676


Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning


Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies

AISTATS, 2024


Estimation of mixed fractional stable processes using high-frequency data


Fabian Mies, Mark Podolskij

Annals of Statistics, vol. 51(5), 2023, pp. 1946-1964


An Efficient Jump-Diffusion Approximation of the Boltzmann Equation


Fabian Mies, Mohsen Sadr, Manuel Torrilhon

Journal of Computational Physics, vol. 490(112308), 2023


View all

Contact


Fabian Mies


f (dot) mies (at) tudelft (dot) nl


Delft Institute of Applied Mathematics

TU Delft, Netherlands




Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in