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~accessRights:"free"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~language:"eng"
~language:"tur"
~language:"vie"
~person:"Kang, Yanfei"
~subject:"Prognoseverfahren"
~type:"book"
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Prognoseverfahren
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Kang, Yanfei
Hyndman, Rob J.
64
Athanasopoulos, George
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18
Snyder, Ralph D.
12
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10
Panagiotelis, Anastasios
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Koehler, Anne B.
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Vahid, Farshid
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Gao, Jiti
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Loiza-Maya, Ruben
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Ord, John Keith
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Ben Taieb, Souhaib
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Shang, Han Lin
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Koo, Bonsoo
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Poskitt, Donald Stephen
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Wickramasuriya, Shanika L.
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Green, Kesten C.
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Harris, David
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King, Maxwell L.
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Linton, Oliver
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Silvapulle, Mervyn J.
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Silvapulle, Paramsothy
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Ahmed, Roman A.
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Armstrong, Jon Scott
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Cheng, Tingting
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De Livera, Alysha M.
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Erbas, Bircan
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Guillén, Osmani Teixeira de Carvalho
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Hannadige, Sium Bodha
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Working paper / Department of Econometrics and Business Statistics, Monash University
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ECONIS (ZBW)
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Distributed ARIMA models for ultra-long time series
Wang, Xiaoqian
;
Kang, Yanfei
;
Hyndman, Rob J.
;
Li, Feng
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2020
Persistent link: https://www.econbiz.de/10012610507
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2
Feature-based forecast-model performance prediction
Talagala, Thiyanga S.
;
Li, Feng
;
Kang, Yanfei
-
2019
Persistent link: https://www.econbiz.de/10012598900
Saved in:
3
Visualising forecasting algorithm performance using time series instance spaces
Kang, Yanfei
;
Hyndman, Rob J.
;
Smith-Miles, Kate
-
2016
Persistent link: https://www.econbiz.de/10011781706
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