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News
Nächster Vortrag im Stochastischen Kolloquium:
25.10.2017, 11:15, Dr. Vlada Limic (Université Paris Sud 11)

"Title: t.b.a.".
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

Arbeitsgebiet: Statistics in Bio- and Lifescience


  • Tameling, C., Sommerfeld, M., Munk, A. (2017).
    Empirical optimal transport on countable metric spaces: Distributional limits and statistical applications arXiv:1707.00973. Submitted.
  • Pein, F., Hotz, T., Sieling, H., Aspelmeier, T. (2017).
    stepR - an R package for change-point inference.
  • Pein, F., Hotz, T., Tecuapetla-Gómez, I., Aspelmeier, T. (2017).
    clampSeg - an R package for idealisation of patch clamp recordings.
  • Pein, F., Tecuapetla-Gómez, I., Schütte, O. M., Steinem, C., Munk, A. (2017).
    Fully-Automatic Multiresolution Idealization for Filtered Ion Channel Recordings: Flickering Event Detection arxiv.org 1706.03671. Submitted.
  • Mütze, T., Konietschke, F., Munk, A., Friede, T. (2017).
    A studentized permutation test for three-arm trials in the "gold standard" design. Statistics in Medicine, 36, 883-898.
  • Sommerfeld, M. , Munk, A. (2017).
    Inference for empirical Wasserstein distances on finite spaces. arxiv.org/abs/1610.03287, Journ. Royal. Statist. Soc. Ser. B. To appear.
  • Behr, M., Holmes, C., Munk, A. (2017).
    Multiscale blind source separation. The Annals of Statistics, arXiv:1608.07173. To appear.
  • Pein, F., Sieling, H., Munk, A. (2017).
    Heterogeneuous change point inference (R package: HSMUCE). arxiv.org 1505.04898, Journ. Royal. Statist. Soc. Ser. B, 79, 1207–1227.
  • Sommerfeld, M., Sain, S., Schwartzman, A. (2017).
    Confidence regions for excursion sets in asymptotically Gaussian random fields, with an application to climate. Journal of the American Statistical Association. To appear.
  • Siekmann, I., Fackrell, M., Taylor, P. and Crampin, E. J. (2016).
    Modelling modal gating in ion channels with hierarchical Markov models. Proceedings of the Royal Society of London A, 472, 20160122.
  • Hafi, N., Grunwald, M., van den Heuvel, L. S., Aspelmeier, T., Chen, J.-H., Zagrebelsky, M., Schuette, O. M., Steinem, C., Korte, M., Munk, A., Walla, J. P. (2016).
    Corrigendum: Fluorescence nanoscopy by polarization modulation and polarization angle narrowing. Nature Methods, 13, 101.
  • Hafi, N., Grunwald, M., van den Heuvel, l.S., Aspelmeier, T., Steinem, C., Korte, M., Munk, A., Walla, J.P. (2016).
    Reply to "Polarization modulation adds little additional information to super-resolution fluorescence microscopy" Nature Methods, 13, 8-9.
  • Mütze, T., Munk, A., Friede, T. (2016).
    Design and analysis of three‐arm trials with negative binomially distributed endpoints. Statistics in Medicine, 35, 505 - 521.
  • Li, H., Munk, A., Sieling, H. (2016).
    FDR-control in multiscale change-point segmentation. Electron. J. Statist., 10(1), 918-959.
  • Huckemann, S.F., Kim. K.-R., Munk, A., Rehfeld, F., Sommerfeld, M., Weickert, J., Wollnik, C. (2016).
    The circular SiZer, inferred persistence of shape parameters and application to stem cell stress fibre structures. Bernoulli, arxiv.org 1404.3300, 22, 2113-2142.
  • 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.
  • Siekmann, I., Cao, P., Sneyd, J. and Crampin, E. J. (2015).
    Data-driven modelling of the inositol-trisphosphate receptor (IPR) and its role in calcium dynamics. Invited book chapter for "Modeling Methods in Neuron-Glia Interactions", de Pittà, M. and Berry, H. (eds.). Accepted.
  • Rajagopal, V., Bass, G. Walker, C. G., Crossman, D., Petzer, A., Hickey, A., Siekmann, I., Hoshijima, M., Ellisman, M. H., Crampin, E. J. and Soeller, C. (2015).
    Examination of the effects of heterogeneous organization of RyR clusters, myofibrils and mitochondria on Ca2+ release patterns in cardiomyocytes. PLoS Computational Biology, 11(9), e1004417.
  • Ta, H., Keller, J., Haltmeier, M. Saka, S.K., Schmied, J., Opazo, F., Tinnefeld, P., Munk, A., Hell, S.W. (2015).
    Mapping molecules in scanning far-field fluorescence nanoscopy. Nature Communications, 6, 1-7, DOI: 10.1038/ncomms8977.
  • Aspelmeier, T., Egner, A., Munk, A. (2015).
    Modern Statistical Challenges in High Resolution Fluorescence Microscopy. Annual Review of Statistics and its Application, 2, 163-202.
  • Siekmann, I., Sneyd, J. and Crampin, E. J. (2014).
    Statistical analysis of modal gating in ion channels. Proceedings of the Royal Society of London A, 470, 20140030.
  • Hafi, N., Grunwald, M., van den Heuvel, L.S., Aspelmeier, T., Chen, J.-H., Zagrebelsky, M., Schütte, O.M., Steinem, C., Korte, M., Munk, A., Walla, P.J. (2014).
    Fluorescence nanoscopy by polarization modulation and polarization angle narrowing. Nature Methods, 11, doi: 10.1038/nmeth.2919.
  • Futschik, A., Hotz, T., Munk, A., Sieling, H. (2014).
    Multiscale DNA partitioning: statistical evidence for segments. Bioinformatics, doi: 10.1093/bioinformatics/btu180 (Preprint).
  • Gottschlich, C., Huckemann, S. (2014).
    Separating the Real From the Synthetic: Extended Minutiae Histograms as Fingerprints of Fingerprints. IET Biometrics, 3(4), 291-301.
  • Frick, K., Munk, A., Sieling, H. (2014).
    Multiscale Change-Point Inference (software "stepR" for multiscale change point analysis "SMUCE") With discussion and rejoinder by the authors. Journ. Royal Statist. Society, Ser. B, , 76, 495-580. arXiv:1301.7212 long version with full proofs.
  • Li, H., Haltmeier, M., Zhang, S., Frahm, J., Munk, A. (2013).
    Aggregated Motion Estimation for Image Reconstruction in Real-Time MRI (Supplements). Magnetic Resonance in Medicine, DOI: 10.1002/mrm.25020.
  • 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.
  • 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).
  • Siekmann, I. Wagner II, L. E., Yule, D., Crampin, E. J. and Sneyd, J. (2012).
    A kinetic model of type I and type II IP3R accounting for mode changes. Biophysical Journal, 103(4), 658–668.
  • Siekmann, I., Crampin, E. J. and Sneyd, J. (2012).
    MCMC can detect non-identifiable models. Biophysical Journal, 103(11), 2275–2286.
  • Krivobokova, T., Briones, R., Hub, J., Munk, A., de Groot, B. (2012).
    Partial least squares functional mode analysis: application to membrane proteins AQP1, Aqy1 and CLC-ec1 Biophysical Journal, 103, 786-796.
  • 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.
  • 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.
  • Dannemann. J., Holzmann, H. (2010).
    Testing for two components in a switching regression model. Comput. Statist. Data Anal., 64 (6), 1592-1604.
  • Mielke, M., Munk, A. (2010).
    The assessment and planning of non-inferiority trials for retention of effect hypotheses - towards a general approach. arXiv:0912.4169v1 [stat.ME]. In revision.
  • 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).
  • 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).
  • Balabdaoui, F., Mielke, M., Munk, A. (2009).
    The likelihood ratio test for non-standard hypotheses near the boundary of the null - with application to the assessment of non-inferiority. Statistics & Decisions, 27, 75-92.
  • 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.
  • Bissantz, N., Claeskens, G., Holzmann, H., Munk, A. (2009).
    Testing for lack of fit in inverse regression -- with applications to biophotonic imaging. J. Royal Statist. Soc. Ser. B, 71(1), 25-48 (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).
  • Mielke, M., Munk, A., Schacht, A. (2008).
    Technical Report on "The assessment of non-inferiority in a gold standard design with censored, exponentially distributed endpoints". (Preprint).
  • Lakomek, N.A., Walter, K., Fares, C., Lange, O., de Groot, B., Grubmuller, H., Bruschweiler, R., Munk, A., Becker, S., Meiler, J., Griesinger, C. (2008).
    Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics. Journal of Biomolecular NMR, 41, 139-155, (supplement ) (Preprint).
  • Holzmann, H., Munk, A. (2008).
    Reply to Reader Reacton: On the nonidentifiability of population sizes Biometrics, 64, 979-981.
  • Dannemann, J., Holzmann, H. (2008).
    Testing for two states in a hidden Markov model. Canad. J. Statist., 36 (4), 505-520 (Preprint).
  • Mielke, M., Munk, A., Schacht, A. (2008).
    The assessment of non-inferiority in a gold standard design with censored, exponentially distributed endpoints. Statistics in Medicine, 27, 5093-5110.
  • 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).
  • Munk, A., Mielke, M., Skipka, G., Freitag, G. (2007).
    Testing noninferiority in three-armed clinical trials based on the likelihood ratio statistics. Canad. J. Statist., 35, 413-431.
  • 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.

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