english version
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.

Arbeitsgruppe "Angewandte und Mathematische Statistik"
Publikationen: Gesamtliste

GK 1023

  • Frick, S., Hohage, T., Munk, A. (2014).
    Asymptotic laws for change point estimation in inverse regression. Statistica Sinica, 24, 555-575 (Preprint).
  • Friede, T., Kombrink, K., Munk, A. (2013).
    Design and semiparametric analysis of non-inferiority trials with active and placebo control for censored time to event data Statistics in Medicine, 32, 3055-3066.
  • Hoffmann, M., Munk, A., Schmidt-Hieber, J. (2012).
    Adaptive wavelet estimation of the diffusion coefficient under additive error measurements. Annales de l’Institute Henri Poincare, 48, 1186--1216 (Preprint).
  • 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.
  • Munk, A., Schmidt-Hieber, J. (2010).
    Lower bounds for volatility estimation in microstructure noise models. Borrowing Strength: Theory Powering Applications - A Festschrift for Lawrence D. Brown, IMS Collections, 6, 43-55 To appear (Preprint).
  • Huckemann, S., Hotz, T., Munk, A. (2010).
    Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder. Statistica Sinica, 20, 1-100 (Preprint).
  • Huckemann, S., Kim, P., Koo, J.-Y., Munk, A. (2010).
    Moebius deconvolution on the hyperbolic plane with application to impedance density estimation. Ann. Statist., 38 (4), 2465-2498 (Preprint).
  • Munk, A., Schmidt-Hieber, J. (2010).
    Nonparametric estimation of the volatility function in a high-frequency model corrupted by noise. Electronic Journal of Statistics, 4, 781-821 (Preprint).
  • Hotz, T., Huckemann, S., Gaffrey, D., Munk, A., Sloboda, B. (2010).
    Shape spaces for pre-alingend star-shaped objects in studying the growth of plants. Journal of the Royal Statistical Society, Series C (Applied Statistics), 59 (1), 127-143 (Preprint).
  • Cai, T. T., Munk, A., Schmidt-Hieber, J. (2010).
    Sharp minimax estimation of the variance of Brownian motion corrupted with Gaussian noise. (Including Supplementary material). Statistica Sinica, 20, 1011-1024 (Preprint).
  • Huckemann, S., Hotz, T., Munk, A. (2010).
    Rejoinder on "Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions." Statistica Sinica, 20, 1-100 (Preprint).
  • Mihailescu, P. and Munk, A. and Tams B. (2009).
    The fuzzy vault for fingerprints is vulnerable to brute force attack. in Proc. BIOSIG 2009, ser. LNI, vol. 155, pp. 43-45.
  • Munk, A., Schmidt-Hieber, J. (2009).
    The Estimation of Different Scales in Microstructure Noise Models from a Nonparametric Regression Perspective Oberwolfach Reports, 6, 2210-2212.
  • Gottschlich, C., Mihailescu, P., Munk, A. (2009).
    Robust Orientation Field Estimation in Fingerprint Images with Broken Ridge Lines Proc. Image and Signal Processing and Analysis (ISPA), 529-533.
  • Gottschlich, C., Mihailescu, P., Munk, A. (2009).
    Robust Orientation Field Estimation and Extrapolation Using Semilocal Line Sensors IEEE Transactions on Information Forensics and Security, 4(4), 802-811.
  • Bauer, F., Hohage, T., Munk, A. (2009).
    Iteratively regularized Gauss-Newton method for nonlinear inverse problems with random noise SIAM J. Num. Anal. , 47, 1827-1846 (Preprint).
  • Huckemann, S., Hotz, T. (2009).
    Principal Components Geodesics for Planar Shape. Journal of Multivariate Analysis, 100, 699-714 (Preprint).
  • Boysen, L., Bruns, S., Munk, A. (2009).
    Jump estimation in inverse regression. Elect.ronic J. Statist. , 3, 1322-1359 (Preprint).
  • Boysen, L., Kempe, A., Munk, A., Liebscher, V., Wittich, O. (2009).
    Consistencies and rates of convergence of jump penalized least squares estimators. Ann. Statist., 37, 157-183 (Preprint).
  • Bissantz, N., Mair, B., Munk, A. (2008).
    A statistical stopping rule for MLEM reconstructions in PET. IEEE Nucl. Sci. Symp. Conf. Rec., 8, 4198-4200.
  • Mieloch, K., Munk, A., Mihailescu, P. (2008).
    Hierarchically linked extended features in fingerprints. Proc. of the 6th Biometrics Symposium 2008 (BSYM) , 47-52 (Preprint).
  • Huckemann, S., Hotz, T., Munk, A. (2008).
    Global Models for the Orientation Field of Fingerprints: An Approach Based on Quadratic Differentials. IEEE Trans. Patt. Anal. Mach. Intell., 30(9), 1507-1519 (Preprint).
  • Mihailescu, P., Mieloch, K., Munk A. (2006).
    Fingerprint classification using entropy sensitive tracing. Progress in Industrial Mathematics at ECMI 2006, 928-934 (Preprint).