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Lukas Steinberger (on leave)

Lukas2017s.jpgOffice hours

Wednesday 10:00-11:00



Abteilung für Mathematische Stochastik
Albert-Ludwigs-Universität Freiburg
Ernst-Zermelo-Straße 1
79104 Freiburg im Breisgau

Room: 226
Tel: +49 (0)761/203-5678
E-Mail: lukas.steinberger@stochastik.uni-freiburg.de






Research interests

  • High dimensional regression
  • Predictive inference
  • Inference post-model-selection
  • Statistical inference under privacy constraints


Publications and Preprints

  • Steinberger, L. and Leeb, H. (2019). Prediction when fitting simple models to high dimensional data. Annals of Statistics 47(3), 1408-1442. (pdf)
  • Leeb, H. and Steinberger, L. (2019). Statistical inference with F-statistics when fitting simple models to high-dimensional data. arXiv:1902.04304
  • Steinberger, L. and Leeb, H. (2018). Conditional predictive inference for high-dimensional stable algorithms. arXiv:1809.01412
  • Rohde, A. and Steinberger, L. (2018). Geometrizing rates of convergence under differential privacy constraints.
  • Bachoc, F., Preinerstorfer, D. and Steinberger, L. (2018+). Uniformly valid confidence intervals post-model-selection. Annals of Statistics, forthcoming, arXiv:1611.01043
  • Steinberger, L. and Leeb, H. (2018). On conditional moments of high-dimensional random vectors given lower-dimensional projections. Bernoulli 24(1), 565-591. (pdf)
  • Steinberger, L. and Leeb, H. (2016). Leave-one-out prediction intervals in linear regression models with many variables. arXiv:1602.05801
  • Steinberger, L. (2016). The relative effects of dimensionality and multiplicity of hypotheses on the F-test in linear regression. Electronic Journal of Statistics 10, 2584-2640. doi:10.1214/16-EJS1186
  • Reschenhofer, E., Preinerstorfer, D. and Steinberger, L. (2013). Non-monotonic penalizing for the number of structural breaks. Computational Statistics 28, 2585-2598. doi:10.1007/s00180-013-0419-4


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