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~isPartOf:"Cowles Foundation discussion paper"
~isPartOf:"International journal of forecasting"
~subject:"Model selection"
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Search: subject_exact:"Modellierung"
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Model selection
Modellierung
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Cowles Foundation discussion paper
International journal of forecasting
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15
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1
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:
2
Penalized estimation of panel vector autoregressive models : a panel LASSO approach
Camehl, Annika
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1185-1204
Persistent link: https://www.econbiz.de/10014465265
Saved in:
3
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:
4
Sensitivity analysis using approximate moment condition models
Armstrong, Timothy B.
;
Kolesár, Michal
-
2018
Persistent link: https://www.econbiz.de/10011948942
Saved in:
5
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:
6
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
Saved in:
7
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:
8
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
Saved in:
9
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:
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