english version

Research student: The Institute for Mathematical Stochastics (research group Prof. Axel Munk)  is looking for a student assistant (20-60 h/months) in the project A1 of the RTG 2088. More information is available here.


Arbeitsgruppe "Angewandte und Mathematische Statistik"

  • Siekmann, I., Landman, K., Monagle, P., Ignjatovic, V. and Crampin, E. J. (2017).
    A model-based analysis of age-stratified differences in coagulation. In revision.
  • Gawthrop, P., Siekmann, I., Kameneva, T., Saha, S., Ibbotson, M. R. and Crampin, E. J. (2017).
    Bond Graph Modelling of Chemoelectrical Energy Transduction. Submitted.
  • 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.
  • Siekmann, I. and Malchow, H. (2016).
    Fighting Enemies and Noise: Competition of Residents and Invaders in a Stochastically Fluctuating Environment. Mathematical Modelling of Natural Phenomena (MMNP), 11(5), 120-140.
  • 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.
  • 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.
  • 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.
  • 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.