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. 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

  Jobst D, Möller AC, 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, et al. The EUPPBench postprocessing benchmark dataset v1.0. Earth System Science Data. 2023;15(6):2635-2653.

  PUB | DOI | WoS
   
• [16]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969855

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

  PUB | DOI | WoS
   
• [15]
  

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

  Möller AC, George AC, 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

  Lerch S, Baran S, Möller AC, et al. Simulation-based comparison of multivariate ensemble post-processing methods. Nonlinear Processes in Geophysics. 2020;27(2):349-371.

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

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959843

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

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

  2020 | Datenpublikation | PUB-ID: 2959845

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

  PUB | Download (ext.)
   
• [10]
  

  2019 | Wissenschaftliche Software | PUB-ID: 2960075

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

  PUB | Dateien verfügbar
   
• [9]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960074

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

  PUB
   
• [8]
  

  2018 | Preprint | PUB-ID: 2960072

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

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

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960067

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

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

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960068

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

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

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960070

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

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

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960069

  Hasenbeck F, Reiser D, Ghendrih P, et al. 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

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

  PUB | DOI | Download (ext.) | WoS