Publications funded or partly funded by Helmholtz-UQ.

  • Paasche, H., Gross, M., Lüttgau, J., Greenberg, D.S., Weigel, T., (2021):
    To the brave scientists: Aren’t we strong enough to stand (and profit from) uncertainty in Earth system measurement and modelling?
    Geosci. Data J.
    DOI: 10.1002/gdj3.132
  • Paasche, H., Paasche, K., Dietrich, P., (2020):
    Uncertainty as a driving force for geoscientific development
    Nat. Cult. 15 (1), 1 - 18
    DOI: 10.3167/nc.2020.150101
  • B. Zeller-Plumhoff*ǂ, T. AlBaraghthehǂ, D. Höche, R. Willumeit-Römer
    Computational modelling of magnesium degradation in simulated body fluid under physiological conditions
    accepted at Magnesium and Alloys
    ǂ shared first authorship

  • Contento L, Castelletti N, Raimúndez E, Le Gleut R, Schälte Y, Stapor P, Hinske LC, Hoelscher M, Wieser A, Radon K, Fuchs C, et al. (2021):
    Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infection rates
    DOI: 10.1101/2021.10.01.21263052
  • Olbrich L, Castelletti N, Schälte Y, Garí M, Pütz P, Bakuli A, Pritsch M, Kroidl I, Saathoff E, Guggenbuehl Noller J, Fingerle V, Fuchs C, et al. (2021):
    Head-to-head evaluation of seven different seroassays including direct viral neutralisation in a representative cohort for SARS-CoV-2
    Journal of General Virology 102(10).
    DOI: 10.1099/jgv.0.001653
  • Pieschner S, Hasenauer J, Fuchs C (2021):
    Identifiability analysis for models of the translation kinetics after mRNA transfection
    DOI: 10.1101/2021.05.18.444633
  • Radon K, Bakuli A, Pütz P, Gleut RL, Guggenbuehl Noller JM, Olbrich L, Saathoff E, Garí M, Schälte Y, Frahnow T, Wölfel R, Fuchs C, et al. (2021):
    From first to second wave: follow-up of the prospective Covid-19 cohort (KoCo19) in Munich (Germany)
    BMC infectious diseases 21(1): 925.
    DOI: 10.1186/s12879-021-06589-4
  • Pritsch M, Radon K, Bakuli A, Le Gleut R, Olbrich L, Guggenbuehl Noller JM, Saathoff E, Castelletti N, Garí M, Pütz P, Schaelte Y, Fuchs C, et al. (2021):
    Prevalence and Risk Factors of Infection in the Representative COVID-19 Cohort Munich
    International journal of environmental research and public health 18(7): 3572.
    DOI: 10.2139/ssrn.3745128
  • Amrhein L, Fuchs C (2021):
    stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R
    BMC Bioinformatics 22: 123.
    DOI: 10.1186/s12859-021-03970-7
  • Olbrich L, Castelletti N, Schälte Y, Garí M, Pütz P, Bakuli A, Pritsch M, Kroidl I, Saathoff E, Noller JMG, Fingerle V, Fuchs C, et al. (2021):
    A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich
    DOI: 10.1101/2021.01.13.21249735
  • Fuetterer C, Augustin T, Fuchs C (2020):
    Adapted single-cell consensus clustering (adaSC3)
    Advances in Data Analysis and Classification volume 14(4): 885–896.
    DOI: 10.1007/s11634-020-00428-1
  • Pieschner S, Fuchs C (2020):
    Bayesian inference for diffusion processes: using higher-order approximations for transition densities
    Royal Society Open Science 7(10): 200270.
    DOI: 10.1098/rsos.200270
  • Amrhein L, Fuchs C (2020):
    Stochastic profiling of mRNA counts using HMC
    In:    Proceedings of the 35th International Workshop on Statistical Modelling (IWSM) 2020.

  • Gorjão, L. R., Jumar, R., Maass, H., Hagenmeyer, V., Yalcin, G. C., Kruse, J., Timme, M., Beck, C., Witthaut, D., & Schäfer, B. (2020).
    Open database analysis of scaling and spatio-temporal properties of power grid frequencies.
    Nature communications, 11(1), 6362.
  • Gorjão, L. R., Schäfer, B., Witthaut, D., & Beck, C. (2021).
    Spatio-temporal complexity of power-grid frequency fluctuations.
    New Journal of Physics, 23, 073016.
  • Gorjão, L. R., Witthaut, D., Lehnertz, K., & Lind, P. G. (2021).
    Arbitrary-Order Finite-Time Corrections for the Kramers–Moyal Operator.
    Entropy, 23(5), 517.
  • Cramer, E., Gorjão, L. R., Mitsos, A., Schäfer, B., Witthaut, D., & Dahmen, M. (2021).
    Validation Methods for Energy Time Series Scenarios from Deep Generative Models.
    arXiv preprint arXiv:2110.14451.
  • Gorjão, L. R., Hassan, G., Kurths, J., & Witthaut, D. (2021).
    MFDFA: Efficient Multifractal Detrended Fluctuation Analysis in Python.
    arXiv preprint arXiv:2104.10470.
  • Gorjão, L. R., Vanfretti, L., Witthaut, D., Beck, C., & Schäfer, B. (2021).
    Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid.
    arXiv preprint arXiv:2105.00228.
  • Jumar, R., Maaß, H., Schäfer, B., Gorjão, L. R., & Hagenmeyer, V. (2020).
    Power grid frequency data base.
    arXiv preprint arXiv:2006.01771.

  • S. Germscheid, M. Dahmen, A. Mitsos (2021).
    Assessing the Demand Response Potential of Power-Intensive Processes by Stochastic Scheduling Optimization.
    AIChE Annual Meeting, Nov 7-19, Boston, USA (2021)

  • Tilmann, F., Sadeghisorkhani, H., Mauerberger, A. (2020):
    Another look at the treatment of data uncertainty in Markov chain Monte Carlo inversion and other probabilistic methods.
    Geophysical Journal International, 222, 1, 388-405.
    DOI: 10.1093/gji/ggaa168
  • A. Jozi Najafabadi, Ch. Haberland, T. Ryberg, V. Verwater, E. Le Breton, M. R. Handy, M. Weber, and the AlpArray working group (2021):
    Relocation of earthquakes in the Southern and Eastern Alps (Austria, Italy) recorded by the dense, temporary SWATH–D network using a Markov chain Monte Carlo inversion.
    Solid Earth, 12, 5, 1087-1109.
    DOI: 10.5194/se-12-1087-2021
  • Zöller, G., Hainzl, S., Tilmann, F., Woith, H., Dahm, T. (2021):
    Comment on “Potential short‐term earthquake forecasting by farm animal monitoring” by Wikelski, Mueller, Scocco, Catorci, Desinov, Belyaev, Keim, Pohlmeier, Fechteler, and Mai.
    Ethology, 127, 3, 302-306.
    DOI: 10.1111/eth.13105