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Graduate School Scholarship Programme: The Department of Mathematics in co-operation with the German Academic Exchange Service (DAAD), invites applications for two scholarships for international doctoral candidates. Application deadline is January 10, 2018. More information is available here.

Nächster Vortrag im Stochastischen Kolloquium:
20.12.2017, 11:00, Dr. Nina Miolane (GeomStats Team at Inria/Stanford)

"Template shape estimation: correcting an asymptotic bias" (Abstract).
Statistics Meets Friends: The workshop "Statistics Meets Friends - from biophysics to inverse problems and back -" took place in Göttingen from November 29th to December 1st, 2017.
Presseinformation: Statistics Meets Friends - from biophysics to inverse problems and back.
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).

Arbeitsgruppe "Angewandte und Mathematische Statistik"
Publikationen: Dr. Jörn Dannemann

  • Hartmann, A., Huckemann, S., Dannemann, J., Laitenberger, O., Geisler, C., Egner, A., Munk, A. (2016).
    Drift estimation in sparse sequential dynamic imaging: with application to nanoscale fluorescence microscopy. J. Royal Statist. Society, Ser. B, arxiv.org 1403.1389, 78(3), 563–587.
  • Dannemann, J., Holzmann, H., Leister, A. (2014).
    Semiparametric hidden Markov models: Identification and estimation. WIREs Comp. Stat., 6, 418-425.
  • Dannemann, J. (2012).
    Semiparametric hidden Markov models. J. Comput. Graph. Statist., 21 (3), 677-692.
  • Dannemann, J., Munk, A. (2010).
    Discussion of "Maximum likelihood estimation of a multi-dimensional log-concave density" by Cule, Samworth and Stewart. J. Royal Statist. Society, Ser. B, 72, 593-595.
  • Dannemann. J., Holzmann, H. (2010).
    Testing for two components in a switching regression model. Comput. Statist. Data Anal., 64 (6), 1592-1604.
  • Dannemann, J. (2009, published 2010).
    Inference for Hidden Markov Models and related Models. Ph.D. thesis, University of Göttingen, Cuvillier Verlag , Göttingen.
  • Dannemann, J., Holzmann, H. (2008).
    Testing for two states in a hidden Markov model. Canad. J. Statist., 36 (4), 505-520 (Preprint).
  • Dannemann, J., Holzmann, H. (2008).
    Likelihood ratio testing for hidden Markov models under nonstandard conditions. Scand. J. Statist., 35 (2), 309-321 (Preprint).
  • Dannemann, J., Holzmann, H. (2008).
    The likelihood ratio test for hidden Markov models in two-sample problems. Computational Statistics & Data Analysis, 52, 1850-1859. (Preprint).
  • Dannemann, J. (2006).
    Maximum-Likelihood-Inferenz für Hidden Markow Modelle. Diploma thesis (unpublished), Georg-August-Universität Göttingen.