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Thomas Hotz


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Ihre Position


Prof. Dr. Thomas Hotz

Lehre im WS 2020/2021

Lehre im WS 2020/2021


Lehramt - Zweitfach Mathematik

Verantwortlich: Prof. Thomas Hotz

Maß- und Wahrscheinlichkeitstheorie

Verantwortlich: Stefan Heyder, Prof. Thomas Hotz

Math. Statistik

Verantwortlich: Matthias Glock, Prof.Thomas Hotz


Verantwortlich: Stefan Heyer, Thomas Hotz

Stochastik für Ingenieure und Informatiker 

Verantwortlich: Johannes Christof, Stefan Heyder, Thomas Hotz

Stochastische Prozesse 

Verantwortlich: Matthias Glock, Thomas Hotz





Hotz, T., Huckemann, S. (2014)
Intrinsic Means on the Circle: Uniqueness, Locus and Asymptotics. Annals of the Institute of Statistical Mathematics, online first.

Futschik, A., Hotz, T., Munk, A., Sieling, H. (2014)
Multiscale DNA partitioning: statistical evidence for segments. Bioinformatics,online first.

Huckemann, S., Hotz, T. (2013)
On Means and Their Asymptotics: Circles and Shape Spaces. Journal of Mathematical Imaging and Vision,online first.

Hotz, T., Schütte, O.M., Sieling, H., Polupanow, T., Diederichsen, U., Steinem, C., Munk, A. (2013)
Idealizing Ion Channel Recordings by a Jump Segmentation Multiresolution Filter. IEEE Transactions on NanoBioscience, 12(4), 376-386.

Hotz, T. (2013)
Extrinsic vs Intrinsic Means on the Circle. In: Nielsen, F., Barbaresco, F.: Geometric Science of Information, Proceedings of the First International Conference GSI 2013, Lecture Notes in Computer Science 8085, 433-440.

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. The Annals of Applied Probability, 23(6), 2238-2258.

Alt-Epping, B., Stäritz, A. E., Simon, S. T., Altfelder, N., Hotz, T., Lindena, G., Nauck, F., for the Hospice and Palliative Care Evaluation (HOPE) working group. (2012).
What Is Special about Patients with Lung Cancer and Pulmonary Metastases in Palliative Care? Results from a Nationwide Survey. Journal of Palliative Medicine. September 2012, 15 (9), 971-977.

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 (7), 7274-7289.

Hotz, T., Telschow, F. J. E. (2012).
Representation by Integrating Reproducing Kernels., 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. Computational Statistics & Data Analysis, 56 (3), 543-558.

Hotz, T., Munk, A. (2012).
Discussion of Neumann, C., Evett, I.W., Skerrett, J.: Quantifying the weight of evidence from a forensic fingerprint comparison: a new paradigm. Journal of the Royal Statistical Society Series A 175 (2), 403­-404.

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.

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.

Gottschlich, C., Hotz, T., Lorenz, R., Bernhardt, S., Hantschel, M., Munk, A. (2010).
Modeling the growth of fingerprints improves matching for adolescents., 1008.1150v1 [cs.CV].

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.

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.

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 (4), 593-603, "Spotlight Paper" for this issue with its "Special Section on Shape Analysis and its Applications in Image Understanding".

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.

Huckemann, S., Hotz, T., Munk, A. (2009).
Intrinsic two-way MANOVA for shape spaces. Proc. of the ISI2009.

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.

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.

Hotz, T. (2007).
Modelling and Analysing Orientation Fields of Fingerprints., Ph.D. thesis, University of Göttingen.

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.