Proceedings (peer-reviewed) and Book Chapters

  • L. Dümbgen and C. Leuenberger (2015)
    Explicit Error Bounds via Total Variation.
    Chapter in: The Theory and Applications of Benford's Law (S.J. Miller, ed.), pp. 117-132. Princeton University Press.
  • D. Ziaian, S. Zimmermann, L. Dümbgen, A.E. Berggreen, M. Grossherr, H. Gehring and A. Hengstenberg (2013)
    An analysis of variance type method to describe and compare steady states in clinical data.
    The 4th International Conference on E-Health and Bioengineering - EHB 2013, pp. 1-4. IEEE, Piscataway, NJ.
  • L. Dümbgen, R. Samworth and D. Schuhmacher (2013)
    Stochastic Search for Semiparametric Linear Regression Models [arXiv]
    From Probability to Statistics and Back: High-Dimensional Models and Processes. A Festschrift in Honor of Jon Wellner (M. Banerjee, F. Bunea, J. Huang, V. Koltchinskii and M.H. Maathuis, eds.), pp. 78-90. IMS Collections 9, IMS, Hayward, USA.
  • L. Dümbgen and P. Del Conte-Zerial (2013)
    On Low-Dimensional Projections of High-Dimensional Distributions [arXiv]
    From Probability to Statistics and Back: High-Dimensional Models and Processes. A Festschrift in Honor of Jon Wellner (M. Banerjee, F. Bunea, J. Huang, V. Koltchinskii and M.H. Maathuis, eds.), pp. 91-104. IMS Collections 9, IMS, Hayward, USA.
  • L. Dümbgen (2007)
    Confidence Bands for Convex Median Curves using Sign-Tests [arXiv]
    Asymptotics: Particles, Processes and Inverse Problems (E. Cator, G. Jongbloed, C. Kraaikamp, R. Lopuhaä, J.A. Wellner, eds.), pp. 85-100. Lecture Notes - Monograph Series 55, IMS, Hayward, USA.
  • L. Dümbgen, K. Rufibach and Jon A. Wellner (2007)
    Marshall's Lemma for Convex Density Estimation [arXiv]
    Asymptotics: Particles, Processes and Inverse Problems (E. Cator, G. Jongbloed, C. Kraaikamp, R. Lopuhaä, J.A. Wellner, eds.), pp. 101-107. Lecture Notes - Monograph Series 55, IMS, Hayward, USA.
  • D. Klingbiel, H. Witt, B. Ivandic, D. Weichenhan, H.A. Katus, P. Ruiz and L. Dümbgen (2003)
    Singular Value Decomposition for Feature Selection in Gene Chips.
    Proceeedings of the German Conference on Bioinformatics 2003 (H.-W. Mewes, V. Henn, D. Frishman and S. Kramer, eds.), Volume I: Oral Presentations, pp. 73-76.
  • O. Schmitt, L. Hömke und L. Dümbgen (2002)
    Ein Exzess-Massen-basierter Ansatz zur statistischen Detektion zytoarchitektonischer Transitionsregionen.
    Verhandlungen der Anatomischen Gesellschaft 97 (Ann. Anat. Suppl. 184), 133.
  • R. Mester, T. Aach and L. Dümbgen (2001)
    Illumination-Invariant Change Detection Using a Statistical Colinearity Criterion.
    Pattern Recognition: Proceedings 23rd DAGM Symposium (B. Radig, S. Florczyk, Eds.), pp. 170-177. Lecture Notes in Computer Science 2191, Springer Verlag.
  • T. Aach, L. Dümbgen, R. Mester and D. Toth (2001)
    Bayesian Illumination-Invariant Motion Detection.
    Proceedings IEEE International Conference on Image Processing (ICIP) III, pp. 640-643.
  • T. Aach, R. Mester and L. Dümbgen (2001)
    Bayesian Illumination-Invariant Change Detection Using a Total Least Squares Test Statistic.
    Actes/Proceedings 18e Colloque GRETSI'01 sur le Traitement du Signal et des Images, pp. 587-590.
  • L. Dümbgen (1994)
    Confidence Sets for a Changepoint via Randomization Methods.
    Change-Point Problems (E.Carlstein, H.-G.Mueller, D.Siegmund, eds.), pp. 108-129. Lecture Notes - Monograph Series 23, IMS, Hayward.