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~isPartOf:"Journal of forecasting"
~person:"Franses, Philip Hans"
~person:"Jiang, He"
~subject:"Capital income"
~subject:"Mathematische Optimierung"
~subject:"Portfolio-Management"
~subject:"Prognoseverfahren"
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Journal of forecasting
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1
A Bayesian analysis of periodic integration
Franses, Philip Hans
- In:
Journal of forecasting
16
(
1997
)
7
,
pp. 509-532
Persistent link: https://www.econbiz.de/10001233075
Saved in:
2
The impact of seasonal constants on forecasting seasonally cointegrated time series
Kunst, Robert M.
- In:
Journal of forecasting
17
(
1998
)
2
,
pp. 109-124
Persistent link: https://www.econbiz.de/10001244492
Saved in:
3
On SETAR non-linearity and forecasting
Clements, Michael P.
;
Franses, Philip Hans
;
Smith, Jeremy
; …
- In:
Journal of forecasting
22
(
2003
)
5
,
pp. 359-375
Persistent link: https://www.econbiz.de/10001781684
Saved in:
4
Multi-step forecast error variances for periodically integrated time series
Franses, Philip Hans
- In:
Journal of forecasting
15
(
1996
)
2
,
pp. 83-95
Persistent link: https://www.econbiz.de/10001195087
Saved in:
5
Does disagreement amongst forecasters have predictive value?
Legerstee, Rianne
;
Franses, Philip Hans
- In:
Journal of forecasting
34
(
2015
)
4
,
pp. 290-302
Persistent link: https://www.econbiz.de/10011305176
Saved in:
6
Forecasting time series with long memory and level shifts
Hyung, Namwon
;
Franses, Philip Hans
- In:
Journal of forecasting
24
(
2005
)
1
,
pp. 1-16
Persistent link: https://www.econbiz.de/10002569962
Saved in:
7
Do seasonal unit roots matter for forecasting monthly industrial production?
Kawasaki, Yoshinori
;
Franses, Philip Hans
- In:
Journal of forecasting
23
(
2004
)
2
,
pp. 77-88
Persistent link: https://www.econbiz.de/10001980691
Saved in:
8
Evaluating heterogeneous forecasts for vintages of macroeconomic variables
Franses, Philip Hans
;
Welz, Max
- In:
Journal of forecasting
41
(
2022
)
4
,
pp. 829-839
Persistent link: https://www.econbiz.de/10013287864
Saved in:
9
A novel robust structural quadratic forecasting model and applications
Jiang, He
- In:
Journal of forecasting
41
(
2022
)
6
,
pp. 1156-1180
Persistent link: https://www.econbiz.de/10013465690
Saved in:
10
Deep learning with regularized robust long- and short-term memory network for probabilistic short-term load forecasting
Jiang, He
;
Zheng, Weihua
- In:
Journal of forecasting
41
(
2022
)
6
,
pp. 1201-1216
Persistent link: https://www.econbiz.de/10013465692
Saved in:
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