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type_genre:"Arbeitspapier"
type_genre:"Bibliographie enthalten"
~person:"Petropoulos, Fotios"
~person:"Wang, Shijin"
~person:"Yin, Yunqiang"
~source:"econis"
~subject:"Forecasting model"
~subject:"Manufacturing system"
~subject:"Production control"
~subject:"scheduling"
~type_genre:"Aufsatz in Zeitschrift"
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Forecasting model
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Theorie
73
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34
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34
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29
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19
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Petropoulos, Fotios
Wang, Shijin
Yin, Yunqiang
Marcellino, Massimiliano
75
Franses, Philip Hans
74
Diebold, Francis X.
72
Timmermann, Allan
69
Clark, Todd E.
62
Hyndman, Rob J.
56
Clements, Michael P.
54
Gupta, Rangan
50
Drexl, Andreas
44
Pesaran, M. Hashem
43
Kimms, Alf
42
Swanson, Norman R.
42
Dijk, Herman K. van
38
Ravazzolo, Francesco
38
Koop, Gary
37
McCracken, Michael W.
37
Kilian, Lutz
36
Hendry, David F.
34
Härdle, Wolfgang
33
Athanasopoulos, George
32
Dijk, Dick van
30
Koopman, Siem Jan
30
Pierdzioch, Christian
30
Giannone, Domenico
29
Bollerslev, Tim
27
Rossi, Barbara
27
Carriero, Andrea
26
Corsten, Hans
26
Giacomini, Raffaella
25
Korobilis, Dimitris
25
Schorfheide, Frank
25
Makridakis, Spyros G.
23
Wang, Yudong
23
Cheng, T. C. E.
22
Granger, C. W. J.
22
Huber, Florian
22
Fildes, Robert
21
Kunst, Robert M.
21
Pettenuzzo, Davide
21
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International journal of production research
15
European journal of operational research : EJOR
8
International journal of forecasting
7
Journal of the Operational Research Society : OR
4
International journal of production economics
3
Journal of business research : JBR
3
Computers & operations research : and their applications to problems of world concern ; an international journal
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Naval research logistics : an international journal
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ECONIS (ZBW)
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1
Combining probabilistic forecasts of intermittent demand
Wang, Shengjie
;
Kang, Yanfei
;
Petropoulos, Fotios
- In:
European journal of operational research : EJOR
315
(
2024
)
3
,
pp. 1038-1048
Persistent link: https://www.econbiz.de/10014566066
Saved in:
2
Feature-based intermittent demand forecast combinations : accuracy and inventory implications
Li, Li
;
Kang, Yanfei
;
Petropoulos, Fotios
;
Li, Feng
- In:
International journal of production research
61
(
2023
)
22
,
pp. 7557-7572
Persistent link: https://www.econbiz.de/10014383405
Saved in:
3
Improving forecasting by subsampling seasonal time series
Li, Xixi
;
Petropoulos, Fotios
;
Kang, Yanfei
- In:
International journal of production research
61
(
2023
)
3
,
pp. 976-992
Persistent link: https://www.econbiz.de/10014226874
Saved in:
4
Forecast selection and representativeness
Petropoulos, Fotios
;
Siemsen, Enno
- In:
Management science : journal of the Institute for …
69
(
2023
)
5
,
pp. 2672-2690
Persistent link: https://www.econbiz.de/10014305430
Saved in:
5
Forecast with forecasts : diversity matters
Kang, Yanfei
;
Cao, Wei
;
Petropoulos, Fotios
;
Li, Feng
- In:
European journal of operational research : EJOR
301
(
2022
)
1
,
pp. 180-190
Persistent link: https://www.econbiz.de/10013207367
Saved in:
6
A disaster response model driven by spatial-temporal forecasts
Nikolopoulos, Konstantinos
;
Petropoulos, Fotios
; …
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 1214-1220
Persistent link: https://www.econbiz.de/10013349778
Saved in:
7
On the selection of forecasting accuracy measures
Koutsandreas, Diamantis
;
Spiliotis, Evangelos
; …
- In:
Journal of the Operational Research Society
73
(
2022
)
5
,
pp. 937-954
Persistent link: https://www.econbiz.de/10013372953
Saved in:
8
COVID-19 : forecasting confirmed cases and deaths with a simple time series model
Petropoulos, Fotios
;
Makridakis, Spyros G.
;
Stylianou, …
- In:
International journal of forecasting
38
(
2022
)
2
,
pp. 439-452
Persistent link: https://www.econbiz.de/10013348603
Saved in:
9
Forecasting : theory and practice
Petropoulos, Fotios
;
Apiletti, Daniele
;
Assimakopoulos, V.
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 705-871
Persistent link: https://www.econbiz.de/10013349395
Saved in:
10
Déjà vu : a data-centric forecasting approach through time series cross-similarity
Kang, Yanfei
;
Spiliotis, Evangelos
;
Petropoulos, Fotios
; …
- In:
Journal of business research : JBR
132
(
2021
),
pp. 719-731
Persistent link: https://www.econbiz.de/10012581654
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