19 Publikationen

Alle markieren

  • [19]
    2024 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2986291
    Gross, J., Möller, A.C.: Some additional remarks on statistical properties of Cohen's d in the presence of covariates. Statistical Papers . (2024).
    PUB | DOI | WoS
     
  • [18]
    2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982406 OA
    Jobst, D., Möller, A.C., Gross, J.: D-vine-copula-based postprocessing of wind speed ensemble forecasts. Quarterly Journal of the Royal Meteorological Society. (2023).
    PUB | PDF | DOI | WoS
     
  • [17]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981385
    Demaeyer, J., Bhend, J., Lerch, S., Primo, C., Van Schaeybroeck, B., Atencia, A., Ben Bouallegue, Z., Chen, J., Dabernig, M., Evans, G., Pucer, J.F., Hooper, B., Horat, N., Jobst, D., Merse, J., Mlakar, P., Möller, A.C., Mestre, O., Taillardat, M., Vannitsem, S.: The EUPPBench postprocessing benchmark dataset v1.0. Earth System Science Data. 15, 2635-2653 (2023).
    PUB | DOI | WoS
     
  • [16]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969855
    Groß, J., Möller, A.C.: A Note on Cohen's d From a Partitioned Linear Regression Model. Journal of Statistical Theory and Practice. 17, : 22 (2023).
    PUB | DOI | WoS
     
  • [15]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2966732
    Möller, A.C., George, A.C., Gross, J.: Predicting school transition rates in Austria with classification trees. International Journal of Research & Method in Education . (2022).
    PUB | DOI | WoS
     
  • [14]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959842 OA
    Lerch, S., Baran, S., Möller, A.C., Groß, J., Schefzik, R., Hemri, S., Graeter, M.: Simulation-based comparison of multivariate ensemble post-processing methods. Nonlinear Processes in Geophysics. 27, 349-371 (2020).
    PUB | PDF | DOI | Download (ext.) | WoS | Preprint
     
  • [13]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959843 OA
    Möller, A.C., Groß, J.: Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model. Quarterly Journal of the Royal Meteorological Society. 146, 211-224 (2020).
    PUB | PDF | DOI | Download (ext.) | WoS | Preprint
     
  • [12]
    2020 | Datenpublikation | PUB-ID: 2959845 OA
    Lerch, S., Baran, S., Möller, A.C., Groß, J., Schefzik, R., Hemri, S., Graeter, M.: Supplementary material to "Simulation-based comparison of multivariate ensemble post-processing methods". Copernicus GmbH (2020).
    PUB | Dateien verfügbar | DOI
     
  • [11]
    2020 | Zeitungsartikel | Veröffentlicht | PUB-ID: 2960084
    Baran, S., Möller, A.C.: Various Approaches to Statistical Calibration of Ensemble Weather Forecasts. ERCIM News. 30-31 01.04.2020.
    PUB | Download (ext.)
     
  • [10]
    2019 | Wissenschaftliche Software | PUB-ID: 2960075
    Groß, J., Möller, A.C.: ensAR - Autoregressive postprocessing methods for ensemble forecasts. GitHub (2019).
    PUB | Dateien verfügbar
     
  • [9]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960074
    Möller, A.C., Schefzik, R.: Ensemble Postprocessing Methods Incorporating Dependence Structures. In: Vannitsem, S., Wilks, D., and Messner, J. (eds.) Statistical Postprocessing of Ensemble Forecasts. 1st ed. p. 362. Elsevier (2018).
    PUB
     
  • [8]
    2018 | Preprint | PUB-ID: 2960072
    Möller, A.C., Spazzini, L., Kraus, D., Nagler, T., Czado, C.: Vine copula based post-processing of ensemble forecasts for temperature. arXiv:1811.02255. (2018).
    PUB | arXiv
     
  • [7]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960066
    Baran, S., Möller, A.C.: Bivariate ensemble model output statistics approach for joint forecasting of wind speed and temperature. Meteorology and Atmospheric Physics. 129, 99-112 (2017).
    PUB | DOI | Download (ext.) | WoS
     
  • [6]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960067
    Möller, A.C., Tutz, G., Gertheiss, J.: Random forests for functional covariates. Journal of Chemometrics. 30, 715-725 (2016).
    PUB | DOI | Download (ext.) | WoS
     
  • [5]
    2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960068
    Möller, A.C., Groß, J.: Probabilistic temperature forecasting based on an ensemble autoregressive modification. Quarterly Journal of the Royal Meteorological Society. 142, 1385-1394 (2016).
    PUB | DOI | Download (ext.) | WoS
     
  • [4]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960070
    Baran, S., Möller, A.C.: Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging. Environmetrics. 26, 120-132 (2015).
    PUB | DOI | Download (ext.) | WoS
     
  • [3]
    2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960069
    Hasenbeck, F., Reiser, D., Ghendrih, P., Marandet, Y., Tamain, P., Möller, A.C., Reiter, D.: Multiscale Modeling Approach for Radial Particle Transport in Large-scale Simulations of the Tokamak Plasma Edge. Procedia Computer Science. 51, 1128-1137 (2015).
    PUB | DOI | Download (ext.)
     
  • [2]
    2015 | Preprint | PUB-ID: 2960073
    Möller, A.C., Thorarinsdottir, T.L., Lenkoski, A., Gneiting, T.: Spatially adaptive, Bayesian estimation for probabilistic temperature forecasts. arXiv:1507.05066. (2015).
    PUB | arXiv
     
  • [1]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960071
    Möller, A.C., Lenkoski, A., Thorarinsdottir, T.L.: Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas. Quarterly Journal of the Royal Meteorological Society. 139, 982-991 (2013).
    PUB | DOI | Download (ext.) | WoS
     

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