PUB - Publikationen an der Universität Bielefeld

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• [21]
  

  2024 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2999625

  Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
  Jobst D, Möller AC, Groß J (2024)
  Environmetrics .

  PUB | DOI | WoS
   
• [20]
  

  2024 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2992548

  Time-series-based ensemble model output statistics for temperature forecasts postprocessing
  Jobst D, Möller AC, Gross J (2024)
  Quarterly Journal of the Royal Meteorological Society .

  PUB | DOI | WoS
   
• [19]
  

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

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

  PUB | DOI | WoS
   
• [18]
  

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

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

  PUB | PDF | DOI | WoS
   
• [17]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981385

  The EUPPBench postprocessing benchmark dataset v1.0
  Demaeyer J, Bhend J, Lerch S, Primo C, Van Schaeybroeck B, Atencia A, Ben Bouallegue Z, Chen J, Dabernig M, Evans G, Pucer JF, et al. (2023)
  Earth System Science Data 15(6): 2635-2653.

  PUB | DOI | WoS
   
• [16]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969855

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

  PUB | DOI | WoS
   
• [15]
  

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

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

  PUB | DOI | WoS
   
• [14]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959842

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

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

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959843

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

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

  2020 | Datenpublikation | PUB-ID: 2959845

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

  PUB | Dateien verfügbar | DOI
   
• [11]
  

  2020 | Zeitungsartikel | Veröffentlicht | PUB-ID: 2960084

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

  PUB | Download (ext.)
   
• [10]
  

  2019 | Wissenschaftliche Software | PUB-ID: 2960075

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

  PUB | Dateien verfügbar
   
• [9]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2960074

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

  PUB
   
• [8]
  

  2018 | Preprint | PUB-ID: 2960072

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

  PUB | arXiv
   
• [7]
  

  2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960066

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

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

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960067

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

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

  2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960068

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

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

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960070

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

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

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960069

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

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

  2015 | Preprint | PUB-ID: 2960073

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

  PUB | arXiv
   
• [1]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2960071

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

  PUB | DOI | Download (ext.) | WoS