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Journal of forecasting
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506
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ECONIS (ZBW)
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1
Benchmark forecast and error modeling
Chen, Zhao-Guo
;
Wu, Ka Ho
- In:
Journal of forecasting
36
(
2017
)
4
,
pp. 382-394
Persistent link: https://www.econbiz.de/10011860451
Saved in:
2
A quantile
regression
neural network approach to estimating the conditional density of multiperiod returns
Taylor, James W.
- In:
Journal of forecasting
19
(
2000
)
4
,
pp. 299-311
Persistent link: https://www.econbiz.de/10001504631
Saved in:
3
Economic factors and the stock market : a new perspective
Qi, Min
;
Maddala, Gangadharrao S.
- In:
Journal of forecasting
18
(
1999
)
3
,
pp. 151-166
Persistent link: https://www.econbiz.de/10001433673
Saved in:
4
Dynamic harmonic
regression
Young, Peter C.
;
Pedregal, Diego J.
;
Tych, Wlodek
- In:
Journal of forecasting
18
(
1999
)
6
,
pp. 369-394
Persistent link: https://www.econbiz.de/10001493574
Saved in:
5
Evaluating volatility and interval forecasts
Taylor, James W.
- In:
Journal of forecasting
18
(
1999
)
2
,
pp. 111-128
Persistent link: https://www.econbiz.de/10001368220
Saved in:
6
A linear forecasting model and its application to economic data
Peters, Georg
- In:
Journal of forecasting
20
(
2001
)
5
,
pp. 315-328
Persistent link: https://www.econbiz.de/10001611291
Saved in:
7
Statistical analyses of freeway traffic flows
Tebaldi, Claudia
;
West, Mike
;
Karr, Alan F.
- In:
Journal of forecasting
21
(
2002
)
1
,
pp. 39-68
Persistent link: https://www.econbiz.de/10001650448
Saved in:
8
Multivariate Bayesian
regression
applied to the problem of network security
Triantafyllopoulos, Kostas
;
Pikoulas, John
- In:
Journal of forecasting
21
(
2002
)
8
,
pp. 579-594
Persistent link: https://www.econbiz.de/10001723978
Saved in:
9
Vector smooth transition
regression
models for US GDP and the composite index of leading indicators
Camacho, Maximo
- In:
Journal of forecasting
23
(
2004
)
3
,
pp. 173-196
Persistent link: https://www.econbiz.de/10002027349
Saved in:
10
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
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