Fotios Petropoulos
Fotios Petropoulos
Bestätigte E-Mail-Adresse bei bath.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
forecast: Forecasting functions for time series and linear models
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
825*2018
Forecasting the novel coronavirus COVID-19
F Petropoulos, S Makridakis
PloS one 15 (3), e0231236, 2020
2252020
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
1282014
Forecasting with temporal hierarchies
G Athanasopoulos, RJ Hyndman, N Kourentzes, F Petropoulos
European Journal of Operational Research 262 (1), 60-74, 2017
1202017
‘Horses for Courses’ in demand forecasting
F Petropoulos, S Makridakis, V Assimakopoulos, K Nikolopoulos
European Journal of Operational Research 237 (1), 152-163, 2014
1102014
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
962011
Forecast combinations for intermittent demand
F Petropoulos, N Kourentzes
Journal of the Operational Research Society 66 (6), 914-924, 2015
792015
Forecasting with multivariate temporal aggregation: The case of promotional modelling
N Kourentzes, F Petropoulos
International Journal of Production Economics 181, 145-153, 2016
652016
Simple versus complex selection rules for forecasting many time series
R Fildes, F Petropoulos
Journal of Business Research 68 (8), 1692-1701, 2015
652015
Judgmental selection of forecasting models
F Petropoulos, N Kourentzes, K Nikolopoulos, E Siemsen
Journal of Operations Management 60, 34-46, 2018
472018
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
422018
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
412016
Another look at estimators for intermittent demand
F Petropoulos, N Kourentzes, K Nikolopoulos
International Journal of Production Economics 181, 154-161, 2016
372016
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
312016
Improving forecast quality in practice
R Fildes, F Petropoulos
Foresight: The International Journal of Applied Forecasting 36, 5-12, 2015
302015
Forecasting in social settings: The state of the art
S Makridakis, RJ Hyndman, F Petropoulos
International Journal of Forecasting 36 (1), 15-28, 2020
292020
Empirical heuristics for improving intermittent demand forecasting
F Petropoulos, K Nikolopoulos, GP Spithourakis, V Assimakopoulos
Industrial Management & Data Systems, 2013
282013
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
262019
To select or to combine? The inventory performance of model and expert forecasts
X Wang, F Petropoulos
International Journal of Production Research, 2016
262016
Improving forecasting via multiple temporal aggregation
F Petropoulos, N Kourentzes
Foresight: The International Journal of Applied Forecasting 34, 12-17, 2014
262014
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