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type_genre:"Article in journal"
type_genre:"Survey"
~isPartOf:"International journal of forecasting"
~person:"Assimakopoulos, V."
~person:"Cigno, Alessandro"
~person:"Clements, Michael P."
~subject:"Optimale Besteuerung"
~subject:"Prognoseverfahren"
~subject:"Retail trade"
~subject:"Risk"
~type_genre:"Aufsatz in Zeitschrift"
~type_genre:"Handbook"
~type_genre:"Reprint"
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Optimale Besteuerung
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Retail trade
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Forecasting model
18
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18
Theory
18
Time series analysis
10
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10
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6
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5
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Article in journal
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18
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Assimakopoulos, V.
Cigno, Alessandro
Clements, Michael P.
Makridakis, Spyros G.
19
Hyndman, Rob J.
14
Armstrong, Jon Scott
10
Marcellino, Massimiliano
9
Spiliotis, Evangelos
9
Franses, Philip Hans
8
Koopman, Siem Jan
8
Timmermann, Allan
8
Önkal, Dilek
8
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7
Hendry, David F.
7
Ord, John Keith
7
Petropoulos, Fotios
7
Taylor, James W.
7
Athanasopoulos, George
6
Collopy, Frederick Lynch
6
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6
Koehler, Anne B.
6
Goude, Yannig
5
Harvey, Nigel
5
Kang, Yanfei
5
Martin, Gael M.
5
Reade, J. James
5
Ruiz, Esther
5
Snyder, Ralph D.
5
Thomakos, Dimitrios D.
5
Weron, Rafał
5
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5
Zaman, Saeed
5
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4
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4
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4
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4
Gooijer, Jan G. de
4
Granger, C. W. J.
4
Guerard, John Baynard
4
Herwartz, Helmut
4
Kolassa, Stephan
4
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International journal of forecasting
Journal of applied econometrics
7
Journal of forecasting
6
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3
International journal of production economics
2
International tax and public finance
2
Journal of public economics
2
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2
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CESifo economic studies : CESifo, a joint initiative of the University of Munich's Center for Economic Studies and the Ifo Institute
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IMA journal of management mathematics
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Oxford bulletin of economics and statistics
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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ECONIS (ZBW)
18
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1
Do professional forecasters believe in the Phillips curve?
Clements, Michael P.
- In:
International journal of forecasting
40
(
2024
)
3
,
pp. 1238-1254
Persistent link: https://www.econbiz.de/10014547275
Saved in:
2
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:
3
The M5 competition : background, organization, and implementation
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1325-1336
Persistent link: https://www.econbiz.de/10014381084
Saved in:
4
Predicting/hypothesizing the findings of the M5 competition
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1337-1345
Persistent link: https://www.econbiz.de/10014381085
Saved in:
5
M5 accuracy competition : results, findings, and conclusions
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1346-1364
Persistent link: https://www.econbiz.de/10014381087
Saved in:
6
The M5 uncertainty competition : results, findings and conclusions
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1365-1385
Persistent link: https://www.econbiz.de/10014381091
Saved in:
7
Exploring the representativeness of the M5 competition data
Theodorou, Evangelos
;
Wang, Shengjie
;
Kang, Yanfei
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1500-1506
Persistent link: https://www.econbiz.de/10014381135
Saved in:
8
Investigating the accuracy of cross-learning time series forecasting methods
Semenoglou, Artemios-Anargyros
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1072-1084
Persistent link: https://www.econbiz.de/10012794805
Saved in:
9
Are forecasting competitions data representative of the reality?
Spiliotis, Evangelos
;
Kouloumos, Andreas
;
Assimakopoulos, V.
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 37-53
Persistent link: https://www.econbiz.de/10012405548
Saved in:
10
The M4 competition : 100,000 time series and 61 forecasting methods
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 54-74
Persistent link: https://www.econbiz.de/10012405558
Saved in:
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