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1
Machine learning for regularized survey forecast combination : partially-egalitarian LASSO and its derivatives
Diebold, Francis X.
;
Shin, Minchul
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1679-1691
Persistent link: https://www.econbiz.de/10012305515
Saved in:
2
Optimal and robust combination of forecasts via constrained optimization and
shrinkage
Roccazzella, Francesco
;
Gambetti, Paolo
;
Vrins, Frédéric
- In:
International journal of forecasting
38
(
2022
)
1
,
pp. 97-116
Persistent link: https://www.econbiz.de/10013347741
Saved in:
3
Data-based priors for vector error correction models
Prüser, Jan
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 209-227
Persistent link: https://www.econbiz.de/10014462776
Saved in:
4
Real-time inflation forecasting with high-dimensional models : the case of Brazil
Garcia, Márcio Gomes Pinto
;
Medeiros, Marcelo C.
; …
- In:
International journal of forecasting
33
(
2017
)
3
,
pp. 679-693
Persistent link: https://www.econbiz.de/10011746198
Saved in:
5
Testing big data in a big crisis : nowcasting under Covid-19
Barbaglia, Luca
;
Frattarolo, Lorenzo
;
Onorante, Luca
; …
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1548-1563
Persistent link: https://www.econbiz.de/10014465326
Saved in:
6
Paired comparison models with age effects modeled as piecewise quadratic splines
Araki, Kenji
;
Hirose, Yoshihiro
;
Komaki, Fumiyasu
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 733-740
Persistent link: https://www.econbiz.de/10012300733
Saved in:
7
Beta autoregressive moving average model selection with application to modeling and forecasting stored hydroelectric energy
Cribari-Neto, Francisco
;
Scher, Vinícius T.
;
Bayer, …
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 98-109
Persistent link: https://www.econbiz.de/10014462770
Saved in:
8
Modelling non-stationary "Big Data"
Castle, Jennifer
;
Doornik, Jurgen A.
;
Hendry, David F.
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1556-1575
Persistent link: https://www.econbiz.de/10013274313
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9
Discrete Gompertz equation and model selection between Gompertz and logistic models
Satoh, Daisuke
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1192-1211
Persistent link: https://www.econbiz.de/10012794838
Saved in:
10
Automatic selection of unobserved components models for supply chain forecasting
Villegas, Marco A.
;
Pedregal, Diego J.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 157-169
Persistent link: https://www.econbiz.de/10012300597
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