Institute of Mathematical Statistics and Actuarial Science

Team

Proceedings and Collections (peer-reviewed), Book Chapters

L. Dümbgen, K. Gysel and F. Perler (2023)
Refining Invariant Coordinate Selection via Local Projection Pursuit [arXiv, DOI]
Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler (K. Nordhausen, M. Yi, eds.), pp. 121-136. Springer Int. Publ.
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.