Fotios Petropoulos
Fotios Petropoulos
Verifierad e-postadress på bath.ac.uk - Startsida
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forecast: Forecasting functions for time series and linear models
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
885*2018
Forecasting the novel coronavirus COVID-19
F Petropoulos, S Makridakis
PloS one 15 (3), e0231236, 2020
2912020
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
1362014
Forecasting with temporal hierarchies
G Athanasopoulos, RJ Hyndman, N Kourentzes, F Petropoulos
European Journal of Operational Research 262 (1), 60-74, 2017
1302017
‘Horses for Courses’ in demand forecasting
F Petropoulos, S Makridakis, V Assimakopoulos, K Nikolopoulos
European Journal of Operational Research 237 (1), 152-163, 2014
1262014
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
1052011
Forecast combinations for intermittent demand
F Petropoulos, N Kourentzes
Journal of the Operational Research Society 66 (6), 914-924, 2015
812015
Simple versus complex selection rules for forecasting many time series
R Fildes, F Petropoulos
Journal of Business Research 68 (8), 1692-1701, 2015
712015
Forecasting with multivariate temporal aggregation: The case of promotional modelling
N Kourentzes, F Petropoulos
International Journal of Production Economics 181, 145-153, 2016
672016
Judgmental selection of forecasting models
F Petropoulos, N Kourentzes, K Nikolopoulos, E Siemsen
Journal of Operations Management 60, 34-46, 2018
572018
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
512018
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
422016
Forecasting in social settings: The state of the art
S Makridakis, RJ Hyndman, F Petropoulos
International Journal of Forecasting 36 (1), 15-28, 2020
412020
Another look at estimators for intermittent demand
F Petropoulos, N Kourentzes, K Nikolopoulos
International Journal of Production Economics 181, 154-161, 2016
402016
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
342019
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
342016
Improving forecast quality in practice
R Fildes, F Petropoulos
Foresight: The International Journal of Applied Forecasting 36, 5-12, 2015
332015
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
30*2019
A systemic view of the ADIDA framework
GP Spithourakis, F Petropoulos, K Nikolopoulos, V Assimakopoulos
IMA Journal of Management Mathematics 25 (2), 125-137, 2014
282014
Empirical heuristics for improving intermittent demand forecasting
F Petropoulos, K Nikolopoulos, GP Spithourakis, V Assimakopoulos
Industrial Management & Data Systems, 2013
282013
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Artiklar 1–20