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~isPartOf:"International journal of forecasting"
~person:"Kang, Yanfei"
~person:"Schuermann, Til"
~subject:"Financial forecasting"
~subject:"Zeitreihenanalyse"
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Kang, Yanfei
Schuermann, Til
Hyndman, Rob J.
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International journal of forecasting
European journal of operational research : EJOR
3
Working paper / Department of Econometrics and Business Statistics, Monash University
3
International journal of production research
2
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1
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1
Bayesian
forecast
combination using time-varying features
Li, Li
;
Kang, Yanfei
;
Li, Feng
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1287-1302
Persistent link: https://www.econbiz.de/10014465281
Saved in:
2
Distributed ARIMA models for ultra-long time series
Wang, Xiaoqian
;
Kang, Yanfei
;
Hyndman, Rob J.
;
Li, Feng
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1163-1184
Persistent link: https://www.econbiz.de/10014465263
Saved in:
3
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:
4
FFORMPP : feature-based
forecast
model performance prediction
Talagala, Thiyanga S.
;
Li, Feng
;
Kang, Yanfei
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 920-943
Persistent link: https://www.econbiz.de/10013349631
Saved in:
5
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:
6
Improving forecasting performance using covariate-dependent copula models
Li, Feng
;
Kang, Yanfei
- In:
International journal of forecasting
34
(
2018
)
3
,
pp. 456-476
Persistent link: https://www.econbiz.de/10012031011
Saved in:
7
Visualising forecasting algorithm performance using time series instance spaces
Kang, Yanfei
;
Hyndman, Rob J.
;
Smith-Miles, Kate
- In:
International journal of forecasting
33
(
2017
)
2
,
pp. 345-358
Persistent link: https://www.econbiz.de/10011921031
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