PUB - Publikationen an der Universität Bielefeld

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• [19]
  

  2024 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2986291

  J. Gross, and A. C. Möller, “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

  D. Jobst, A. C. Möller, and J. Gross, “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

  J. Demaeyer, J. Bhend, S. Lerch, C. Primo, B. Van Schaeybroeck, A. Atencia, Z. Ben Bouallegue, J. Chen, M. Dabernig, G. Evans, et al., “The EUPPBench postprocessing benchmark dataset v1.0”, Earth System Science Data, 2023, 15, 2635-2653.

  PUB | DOI | WoS
   
• [16]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969855

  J. Groß, and A. C. Möller, “A Note on Cohen's d From a Partitioned Linear Regression Model”, Journal of Statistical Theory and Practice, 2023, 17, : 22.

  PUB | DOI | WoS
   
• [15]
  

  2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2966732

  A. C. Möller, A. C. George, and J. Gross, “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

  S. Lerch, S. Baran, A. C. Möller, J. Groß, R. Schefzik, S. Hemri, and M. Graeter, “Simulation-based comparison of multivariate ensemble post-processing methods”, Nonlinear Processes in Geophysics, 2020, 27, 349-371.

  PUB | PDF | DOI | Download (ext.) | WoS | Preprint
   
• [13]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959843

  A. C. Möller, and J. Groß, “Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model”, Quarterly Journal of the Royal Meteorological Society, 2020, 146, 211-224.

  PUB | PDF | DOI | Download (ext.) | WoS | Preprint
   
• [12]
  

  2020 | Datenpublikation | PUB-ID: 2959845

  S. Lerch, S. Baran, A. C. Möller, J. Groß, R. Schefzik, S. Hemri, and M. Graeter, 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

  S. Baran, and A. C. Möller, “Various Approaches to Statistical Calibration of Ensemble Weather Forecasts”, ERCIM News, 01.04.2020, 30-31.

  PUB | Download (ext.)
   
• [10]
  

  2019 | Wissenschaftliche Software | PUB-ID: 2960075

  J. Groß, and A. C. Möller, ensAR - Autoregressive postprocessing methods for ensemble forecasts, Github, 2019.

  PUB | Dateien verfügbar
   
• [9]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960074

  A. C. Möller, and R. Schefzik, in Statistical Postprocessing of Ensemble Forecasts (Eds.: S. Vannitsem, D. Wilks, J. Messner), Elsevier, 2018, p. 362.

  PUB
   
• [8]
  

  2018 | Preprint | PUB-ID: 2960072

  A. C. Möller, L. Spazzini, D. Kraus, T. Nagler, and C. Czado, “Vine copula based post-processing of ensemble forecasts for temperature”, arXiv:1811.02255, 2018.

  PUB | arXiv
   
• [7]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960066

  S. Baran, and A. C. Möller, “Bivariate ensemble model output statistics approach for joint forecasting of wind speed and temperature”, Meteorology and Atmospheric Physics, 2017, 129, 99-112.

  PUB | DOI | Download (ext.) | WoS
   
• [6]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960067

  A. C. Möller, G. Tutz, and J. Gertheiss, “Random forests for functional covariates”, Journal of Chemometrics, 2016, 30, 715-725.

  PUB | DOI | Download (ext.) | WoS
   
• [5]
  

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960068

  A. C. Möller, and J. Groß, “Probabilistic temperature forecasting based on an ensemble autoregressive modification”, Quarterly Journal of the Royal Meteorological Society, 2016, 142, 1385-1394.

  PUB | DOI | Download (ext.) | WoS
   
• [4]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960070

  S. Baran, and A. C. Möller, “Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging”, Environmetrics, 2015, 26, 120-132.

  PUB | DOI | Download (ext.) | WoS
   
• [3]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960069

  F. Hasenbeck, D. Reiser, P. Ghendrih, Y. Marandet, P. Tamain, A. C. Möller, and D. Reiter, “Multiscale Modeling Approach for Radial Particle Transport in Large-scale Simulations of the Tokamak Plasma Edge”, Procedia Computer Science, 2015, 51, 1128-1137.

  PUB | DOI | Download (ext.)
   
• [2]
  

  2015 | Preprint | PUB-ID: 2960073

  A. C. Möller, T. L. Thorarinsdottir, A. Lenkoski, and T. Gneiting, “Spatially adaptive, Bayesian estimation for probabilistic temperature forecasts”, arXiv:1507.05066, 2015.

  PUB | arXiv
   
• [1]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960071

  A. C. Möller, A. Lenkoski, and T. L. Thorarinsdottir, “Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas”, Quarterly Journal of the Royal Meteorological Society, 2013, 139, 982-991.

  PUB | DOI | Download (ext.) | WoS