Institut für Mathematische Stochastik

Publikationen: Hotz

  • Hotz, T., Huckemann, S. (2015).
    Intrinsic Means on the Circle: Uniqueness, Locus and Asymptotics. The Annals of the Institute of Statistical Mathematics, 67(1), 177-193 arXiv.org 1108.2141 [stat.ME] [math.PR].
  • Futschik, A., Hotz, T., Munk, A., Sieling, H. (2014).
    Multiscale DNA partitioning: statistical evidence for segments. Bioinformatics, doi: 10.1093/bioinformatics/btu180 (Preprint).
  • Huckeman, S., Hotz, T. (2014).
    On Means and Their Asymptotics: Circles and Shape Spaces Journal of Mathematical Imaging and Vision, 50(1), 98-106, DOI 10.1007/s10851-013-0462-3 (Preprint).
  • Hotz,T., Schütte, O., Sieling, H., Polupanow, T., Diederichsen, U., Steinem, C., Munk, A. (2013).
    Idealizing ion channel recordings by jump segmentation and statistical multiresolution analysis IEEE Trans. on NanoBioScience, 12, 376-386. (Preprint).
  • Hotz, T., Huckemann, S., Le, H., Marron, J. S., Mattingly, J. C., Miller, E., Nolen, J., Owen, M., Patrangenaru, V., Skwerer, S. (2013).
    Sticky central limit theorems on open books. Annals of Applied Probability, 23(6) 2238-2258 , 1202.4267 [math.PR] [math.MG] [math.ST].
  • Geisler, C., Hotz, T., Schönle, A., Hell, S. W., Munk, A., Egner, A. (2012).
    Drift estimation for single marker switching based imaging schemes. Optics Express, 20, 7274-7289.
  • Hotz, T., Telschow, F. J. E. (2012).
    Representation by Integrating Reproducing Kernels. arXiv.org, 1202.4443 [math.FA] [math.NA].
  • Hotz, T., Marnitz, P., Stichtenoth, R., Davies, L., Kabluchko, Z., Munk, A. (2012).
    Locally adaptive image denoising by a statistical multiresolution criterion. Comp. Stat. Data Anal., 56, 543-558.
  • 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.
  • Huckemann, S., Hotz, T. (2010).
    Geodesic and parallel models for leaf shape Proceedings of the 29th Leeds Annual Statistical Research Workshop 6th-8th July 2010, pdf.
  • 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).
  • 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, 127-143 (Preprint).
  • Huckemann, S., Hotz, T., Munk, A. (2010).
    Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendalls Spaces of Planar Shapes. IEEE Trans. Patt. Anal. Mach. Intell., 32, 593-603, "Spotlight Paper" for this issue with its "Special Section on Shape Analysis and its Applications in Image Understanding", freely available until 18 March 2010 (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).
  • Huckemann, S., Hotz, T., Munk, A. (2009).
    Intrinsic two-way MANOVA for shape spaces. Proc. of the ISI2009, article.
  • Hotz, T. (2009).
    Intrinsic Coordinates for Fingerprints Based on their Longitudinal Axis. Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, 501-504, .
  • Huckemann, S., Hotz, T. (2009).
    Principal Components Geodesics for Planar Shape. Journal of Multivariate Analysis, 100, 699-714 (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).
  • Hotz, T. (2007).
    Modelling and Analysing Orientation Fields of Fingerprints. http://resolver.sub.uni-goettingen.de/purl/?webdoc-1583, Ph.D. thesis, University of Göttingen (Preprint).
  • Taub, N.A., Morgan, Z., Brugha, T.S., Lambert, P., Bebbington, P.E., Jenkins, R., Kessler, R.C., Zaslavsky, A.M., Hotz, T. (2005).
    Recalibration methods to enhance information on prevalence rates from large mental health surveys. International Journal of Methods in Psychiatric Research, 14(1), 3-13.
  • Hotz, T. (2002).
    On the Consistency of the Minimum Description Length Criterion. Diploma thesis, University of Heidelberg.