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Nächster Vortrag im Stochastischen Kolloquium:
06.12.2017, 11:15, Prof. Paul Fearnhead (Lancaster University)

"Detecting changes in slope with an Lo penalty" (Abstract).
Presseinformation: Dr. Vlada Limic, CNRS Straßburg, hat den Friedrich Wilhelm Bessel-Forschungspreis der Alexander von Humboldt-Stiftung erhalten. Sie forscht für ein Jahr am Institut für Mathematische Stochastik in der Arbeitsgruppe von Prof. Dr. Anja Sturm (Presseinformation).
Statistics Meets Friends: The workshop "Statistics Meets Friends - from biophysics to inverse problems and back -" takes place in Göttingen from November 29th to December 1st, 2017.
Publikationen

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(3), 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.

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