english version
Nächster Vortrag im Stochastischen Kolloquium:
20.06.2018, 11:15, Dr. Anthony Lee (University of Bristol)

"Particle filters and variance estimation" (Abstract).
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"
Publikationen: Gesamtliste 2011

  • Siekmann, I., Wagner II, L. E., Yule, D., Crampin, E. J. and Sneyd, J. (2011).
    MCMC estimation of Markov models for ion channels. Biophysical Journal, 100(8), 1919–1929.
  • Hoeschen, Ch., Rafecas, M., Aspelmeier, T. (2011).
    Algorithms for image reconstruction. In Cantone, M.C., Hoeschen, Ch. (eds.), Radiation physics for nuclear medicine, Springer Verlag, Ch. 12.
  • Aspelmeier, T., Zippelius, A. (2011).
    The integrated density of states of the random graph Laplacian. J. Stat. Phys., 144, 759–773.
  • Vollmayr-Lee, K., Aspelmeier, T., Zippelius, A. (2011).
    Hydrodynamic correlation functions of a driven granular fluid in steady state. Phys. Rev. E, 83, 011301.
  • Hotz, T., Gottschlich, C., Lorenz, R., Bernhardt, S., Hantschel, M., Munk, A. (2011).
    Statistical Analyses of Fingerprint Growth. BIOSIG 2011 - Proceedings - International Conference of the Biometrics Special Interest Group, 08.-09. September 2011 in Darmstadt, Germany. Lecture Notes in Informatics, P-191, 11-20.
  • Gottschlich, C., Hotz, T., Lorenz, R., Bernhardt, S., Hantschel, M., Munk, A. (2011).
    Modeling the Growth of Fingerprints Improves Matching for Adolescents IEEE Transactions on Information Forensics and Security, 6, 1165-1169.
  • Frick, K., Lorenz, D.A., Resmerita, E. (2011).
    Morozov´s principle for the augmented Lagrangian method applied to linear inverse problems Multiscale Model. Simul., 9, 1528-1548.
  • Huckemann, S. (2011).
    Inference on 3D Procrustes Means: Tree Bole Growth, Rank Deficient Diffusion Tensors and Perturbation Models Scand. J. Statist., 38(3), 424--446 1001.0738 [stat.ME].
  • Huckemann, S. (2011).
    Intrinsic Inference on the Mean Geodesic of Planar Shapes and Tree Discrimination by Leaf Growth Ann. Statist., 39 (2), 1098–1124, arXiv 1009.3203 [stat.ME] (Preprint).
  • Munk, A. , Stockis, J.P., Valeinis, J., Giese, G. (2011).
    Neyman smooth goodness of fit tests for the marginal distribution of dependent data. Ann. Inst. Statist. Math. , 63, 639-659.