forecast: Forecasting functions for time series and linear models RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ... | 1686* | 2018 |
Forecasting the novel coronavirus COVID-19 F Petropoulos, S Makridakis PloS one 15 (3), e0231236, 2020 | 701 | 2020 |
Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 598 | 2022 |
Forecasting with temporal hierarchies G Athanasopoulos, RJ Hyndman, N Kourentzes, F Petropoulos European Journal of Operational Research 262 (1), 60-74, 2017 | 306 | 2017 |
‘Horses for Courses’ in demand forecasting F Petropoulos, S Makridakis, V Assimakopoulos, K Nikolopoulos European Journal of Operational Research 237 (1), 152-163, 2014 | 235 | 2014 |
Improving forecasting by estimating time series structural components across multiple frequencies N Kourentzes, F Petropoulos, JR Trapero International Journal of Forecasting 30 (2), 291-302, 2014 | 227 | 2014 |
An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis K Nikolopoulos, AA Syntetos, JE Boylan, F Petropoulos, ... Journal of the Operational Research Society 62 (3), 544-554, 2011 | 186 | 2011 |
Forecast combinations for intermittent demand F Petropoulos, N Kourentzes Journal of the Operational Research Society 66 (6), 914-924, 2015 | 161 | 2015 |
Exploring the sources of uncertainty: Why does bagging for time series forecasting work? F Petropoulos, RJ Hyndman, C Bergmeir European Journal of Operational Research 268 (2), 545-554, 2018 | 157 | 2018 |
Judgmental selection of forecasting models F Petropoulos, N Kourentzes, K Nikolopoulos, E Siemsen Journal of Operations Management 60, 34-46, 2018 | 145 | 2018 |
Forecasting in social settings: The state of the art S Makridakis, RJ Hyndman, F Petropoulos International Journal of Forecasting 36 (1), 15-28, 2020 | 144 | 2020 |
Forecasting with multivariate temporal aggregation: The case of promotional modelling N Kourentzes, F Petropoulos International Journal of Production Economics 181, 145-153, 2016 | 136 | 2016 |
Another look at forecast selection and combination: Evidence from forecast pooling N Kourentzes, D Barrow, F Petropoulos International Journal of Production Economics 209, 226-235, 2019 | 119 | 2019 |
Simple versus complex selection rules for forecasting many time series R Fildes, F Petropoulos Journal of Business Research 68 (8), 1692-1701, 2015 | 108 | 2015 |
COVID-19: Forecasting confirmed cases and deaths with a simple time series model F Petropoulos, S Makridakis, N Stylianou International journal of forecasting 38 (2), 439-452, 2022 | 95 | 2022 |
Probabilistic forecast reconciliation with applications to wind power and electric load J Jeon, A Panagiotelis, F Petropoulos European Journal of Operational Research 279 (2), 364-379, 2019 | 92 | 2019 |
Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour? F Petropoulos, R Fildes, P Goodwin European Journal of Operational Research 249 (3), 842–852, 2016 | 90 | 2016 |
On the selection of forecasting accuracy measures D Koutsandreas, E Spiliotis, F Petropoulos, V Assimakopoulos Journal of the Operational Research Society 73 (5), 937-954, 2022 | 86 | 2022 |
Models for optimising the theta method and their relationship to state space models JA Fiorucci, TR Pellegrini, F Louzada, F Petropoulos, AB Koehler International Journal of Forecasting 32 (4), 1151-1161, 2016 | 82 | 2016 |
Another look at estimators for intermittent demand F Petropoulos, N Kourentzes, K Nikolopoulos International Journal of Production Economics 181, 154-161, 2016 | 81 | 2016 |