PUB - Publikationen an der Universität Bielefeld

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• [19]
  

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

  Gross J, Möller AC (2024)
  Some additional remarks on statistical properties of Cohen's d in the presence of covariates.
  Statistical Papers .

  PUB | DOI | WoS
   
• [18]
  

  2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2982406

  Jobst D, Möller AC, Gross J (2023)
  D-vine-copula-based postprocessing of wind speed ensemble forecasts.
  Quarterly Journal of the Royal Meteorological Society.

  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 JF, Hooper B, Horat N, Jobst D, Merse J, Mlakar P, Möller AC, Mestre O, Taillardat M, Vannitsem S (2023)
  The EUPPBench postprocessing benchmark dataset v1.0.
  Earth System Science Data 15(6): 2635-2653.

  PUB | DOI | WoS
   
• [16]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969855

  Groß J, Möller AC (2023)
  A Note on Cohen's d From a Partitioned Linear Regression Model.
  Journal of Statistical Theory and Practice 17(2): 22.

  PUB | DOI | WoS
   
• [15]
  

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

  Möller AC, George AC, Gross J (2022)
  Predicting school transition rates in Austria with classification trees.
  International Journal of Research & Method in Education .

  PUB | DOI | WoS
   
• [14]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959842

  Lerch S, Baran S, Möller AC, Groß J, Schefzik R, Hemri S, Graeter M (2020)
  Simulation-based comparison of multivariate ensemble post-processing methods.
  Nonlinear Processes in Geophysics 27(2): 349-371.

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

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959843

  Möller AC, Groß J (2020)
  Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model.
  Quarterly Journal of the Royal Meteorological Society 146(726): 211-224.

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

  2020 | Datenpublikation | PUB-ID: 2959845

  Lerch S, Baran S, Möller AC, Groß J, Schefzik R, Hemri S, Graeter M (2020)
  Supplementary material to "Simulation-based comparison of multivariate ensemble post-processing methods".
  Copernicus GmbH.

  PUB | Dateien verfügbar | DOI
   
• [11]
  

  2020 | Zeitungsartikel | Veröffentlicht | PUB-ID: 2960084

  Baran S, Möller AC (01.04.2020)
  Various Approaches to Statistical Calibration of Ensemble Weather Forecasts.
  ERCIM News (121): 30-31.

  PUB | Download (ext.)
   
• [10]
  

  2019 | Wissenschaftliche Software | PUB-ID: 2960075

  Groß J, Möller AC (2019)
  ensAR - Autoregressive postprocessing methods for ensemble forecasts.
  GitHub.

  PUB | Dateien verfügbar
   
• [9]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960074

  Möller AC, Schefzik R (2018)
  Ensemble Postprocessing Methods Incorporating Dependence Structures.
  In: Statistical Postprocessing of Ensemble Forecasts. Vannitsem S, Wilks D, Messner J (Eds); 1st ed. Elsevier: 362.

  PUB
   
• [8]
  

  2018 | Preprint | PUB-ID: 2960072

  Möller AC, Spazzini L, Kraus D, Nagler T, Czado C (2018)
  Vine copula based post-processing of ensemble forecasts for temperature.
  arXiv:1811.02255.

  PUB | arXiv
   
• [7]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960066

  Baran S, Möller AC (2017)
  Bivariate ensemble model output statistics approach for joint forecasting of wind speed and temperature.
  Meteorology and Atmospheric Physics 129(1): 99-112.

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

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960067

  Möller AC, Tutz G, Gertheiss J (2016)
  Random forests for functional covariates.
  Journal of Chemometrics 30(12): 715-725.

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

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960068

  Möller AC, Groß J (2016)
  Probabilistic temperature forecasting based on an ensemble autoregressive modification.
  Quarterly Journal of the Royal Meteorological Society 142(696): 1385-1394.

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

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960070

  Baran S, Möller AC (2015)
  Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging.
  Environmetrics 26(2): 120-132.

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

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960069

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

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

  2015 | Preprint | PUB-ID: 2960073

  Möller AC, Thorarinsdottir TL, Lenkoski A, Gneiting T (2015)
  Spatially adaptive, Bayesian estimation for probabilistic temperature forecasts.
  arXiv:1507.05066.

  PUB | arXiv
   
• [1]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960071

  Möller AC, Lenkoski A, Thorarinsdottir TL (2013)
  Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas.
  Quarterly Journal of the Royal Meteorological Society 139(673): 982-991.

  PUB | DOI | Download (ext.) | WoS