english version
Nächster Vortrag im Stochastischen Kolloquium:
13.04.2018, 14:15, Dr. Paul Joubert (IMS-Alumni) (Berlin)

"Title: t.b.a.".
Dr. Yoav Zemel, EPF Lausanne, spends SNF Early Postdoc Mobility fellowship at IMS: The IMS welcomes Dr. Yoav Zemel, who is spending with us an 18-months research visit from February 1st, 2018 to July 31st, 2019. Dr. Zemel is funded by a Swiss National Science Foundation Early Postdoc Mobility fellowship for the project Uncertainty Quantification for Optimal Transport mentored by Prof. Axel Munk (more information is available here).

Arbeitsgruppe "Angewandte und Mathematische Statistik"
Publikationen: Gesamtliste

Arbeitsgebiet: Statistics in Bio- and Lifescience

  • Sommerfeld, M. , Munk, A. (2018).
    Inference for empirical Wasserstein distances on finite spaces. arXiv:1610.03287 Journ. Royal. Statist. Soc. Ser. B, 80, 219-238.
  • Sommerfeld, M., Heo, G., Kim, P., Rush, S. T., Marron, J. S. (2017).
    Bump hunting by topological data analysis. Stat, 6, 462-471.
  • 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., Tecuapetla-Gómez, I., Schütte, O. M., Steinem, C., Munk, A. (2017).
    Fully-Automatic Multiresolution idealization for filtered ion channel recordings: Flickering event detection arXiv: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. arXiv:1610.09388  Statistics in Medicine, 36, 883-898.
  • Behr, M., Holmes, C., Munk, A. (2017).
    Multiscale blind source separation. The Annals of Statistics, arXiv:1608.07173. To appear.
  • Tecuapetla-Gómez, I., Munk, A. (2017).
    Autocovariance estimation in regression with a discontinuous signal and m-dependent errors: A difference-based approach (R package: dbacf). arXiv:1507.02485v4 Scandinavian Journal of Statistics, 44, 346-368.
  • Pein, F., Sieling, H., Munk, A. (2017).
    Heterogeneuous change point inference (R package: HSMUCE). arXiv: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, 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, 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, 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, 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.