| Multivariate probabilistic forecasting using ensemble Bayesian model averaging and copulas A Möller, A Lenkoski, TL Thorarinsdottir Quarterly Journal of the Royal Meteorological Society 139 (673), 982-991, 2013 | 151 | 2013 |
| Probabilistic temperature forecasting based on an ensemble autoregressive modification A Möller, J Groß Quarterly Journal of the Royal Meteorological Society 142 (696), 1385-1394, 2016 | 38 | 2016 |
| Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging S Baran, A Möller Environmetrics 26 (2), 120-132, 2015 | 38 | 2015 |
| Simulation-based comparison of multivariate ensemble post-processing methods S Lerch, S Baran, A Möller, J Groß, R Schefzik, S Hemri, M Graeter Nonlinear Processes in Geophysics 27 (2), 349-371, 2020 | 35 | 2020 |
| Random forests for functional covariates A Möller, G Tutz, J Gertheiss Journal of Chemometrics 30 (12), 715-725, 2016 | 28 | 2016 |
| Bivariate ensemble model output statistics approach for joint forecasting of wind speed and temperature S Baran, A Möller Meteorology and Atmospheric Physics 129, 99-112, 2017 | 25 | 2017 |
| Ensemble postprocessing methods incorporating dependence structures R Schefzik, A Möller Statistical Postprocessing of Ensemble Forecasts, 91-125, 2018 | 23 | 2018 |
| The EUPPBench postprocessing benchmark dataset v1. 0 J Demaeyer, J Bhend, S Lerch, C Primo, B Van Schaeybroeck, A Atencia, ... Earth System Science Data Discussions 2023, 1-25, 2023 | 17 | 2023 |
| Spatially adaptive, Bayesian estimation for probabilistic temperature forecasts A Möller, TL Thorarinsdottir, A Lenkoski, T Gneiting arXiv preprint arXiv:1507.05066, 2015 | 15 | 2015 |
| Probabilistic temperature forecasting with a heteroscedastic autoregressive ensemble postprocessing model A Möller, J Groß Quarterly Journal of the Royal Meteorological Society 146 (726), 211-224, 2020 | 14 | 2020 |
| Vine copula based post-processing of ensemble forecasts for temperature A Möller, L Spazzini, D Kraus, T Nagler, C Czado arXiv preprint arXiv:1811.02255, 2018 | 10 | 2018 |
| A note on Cohen’sd from a partitioned linear regression model J Groß, A Möller Journal of Statistical Theory and Practice 17 (2), 22, 2023 | 7 | 2023 |
| Multivariate and spatial ensemble postprocessing methods A Möller | 7 | 2014 |
| D‐vine‐copula‐based postprocessing of wind speed ensemble forecasts D Jobst, A Möller, J Groß Quarterly Journal of the Royal Meteorological Society 149 (755), 2575-2597, 2023 | 5 | 2023 |
| A classification tree for functional data A Möller, J Gertheiss International workshop on statistical modeling, 2018 | 5 | 2018 |
| Multiscale modeling approach for radial particle transport in large-scale simulations of the tokamak plasma edge F Hasenbeck, D Reiser, P Ghendrih, Y Marandet, P Tamain, A Möller, ... Procedia computer science 51, 1128-1137, 2015 | 4 | 2015 |
| ensAR-Autoregressive postprocessing methods for ensemble forecasts J Groß, AC Möller | 3 | 2019 |
| D-Vine GAM Copula based Quantile Regression with Application to Ensemble Postprocessing D Jobst, A Möller, J Groß arXiv preprint arXiv:2309.05603, 2023 | 1 | 2023 |
| Support Vector Machine Quantile Regression Based Ensemble Postprocessing D Jobst, A Möller, J Groß EGU General Assembly Conference Abstracts, EGU22-13205, 2022 | 1 | 2022 |
| The zero degree of freedom non-central chi squared distribution for ensemble postprocessing J Groß, A Möller arXiv preprint arXiv:2404.04964, 2024 | | 2024 |
