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Tao, Hong
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International journal of forecasting
Journal of econometrics
488
Economics letters
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CEMMAP working papers / Centre for Microdata Methods and Practice
163
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147
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142
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
137
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83
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International review of financial analysis
78
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76
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72
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Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München
67
Discussion paper / Centre for Economic Policy Research
64
International review of economics & finance : IREF
64
Research in international business and finance
64
Cogent economics & finance
60
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59
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ECONIS (ZBW)
94
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1
Non-linear predictability in stock and bond returns : when and where is it exploitable?
Guidolin, Massimo
;
Hyde, Stuart
;
McMillan, David G.
; …
- In:
International journal of forecasting
25
(
2009
)
2
,
pp. 373-399
Persistent link: https://www.econbiz.de/10003870067
Saved in:
2
Forecasting exchange rates : a robust regression approach
Preminger, Arie
;
Franck, Raphael
- In:
International journal of forecasting
23
(
2007
)
1
,
pp. 71-84
Persistent link: https://www.econbiz.de/10003438384
Saved in:
3
Functional clustering and linear regression for peak load forecasting
Goia, Aldo
;
May, Caterina
;
Fusai, Gianluca
- In:
International journal of forecasting
26
(
2010
)
4
,
pp. 700-711
Persistent link: https://www.econbiz.de/10008807771
Saved in:
4
Mixed frequency models : Bayesian approaches to estimation and prediction
Rodriguez, Abel
;
Puggioni, Gavino
- In:
International journal of forecasting
26
(
2010
)
2
,
pp. 293-311
Persistent link: https://www.econbiz.de/10003980371
Saved in:
5
Predictive densities for models with stochastic regressors and inequality constraints : forecasting local-area wheat yield
Griffiths, William E.
;
Newton, Lisa S.
;
O'Donnell, …
- In:
International journal of forecasting
26
(
2010
)
2
,
pp. 397-412
Persistent link: https://www.econbiz.de/10003980399
Saved in:
6
Bayesian and non-Bayesian analysis of the seemingly unrelated regression model with Student-t errors, and its application for forecasting
Zellner, Arnold
;
Ando, Tomohiro
- In:
International journal of forecasting
26
(
2010
)
2
,
pp. 413-434
Persistent link: https://www.econbiz.de/10003980403
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7
Stress-testing US bank holding companies : a dynamic panel quantile regression approach ; a comment
Pritsker, Matthew
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 714-716
Persistent link: https://www.econbiz.de/10010515588
Saved in:
8
Stress-testing US bank holding companies : a dynamic panel quantile regression approach
Covas, Francisco B.
;
Rump, Ben
;
Zakrajšek, Egon
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 691-713
Persistent link: https://www.econbiz.de/10010515589
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9
Discussion of "Fast sparse regression and classification" by Jerome Friedman
Tran, Minh-ngoc
;
Giordani, Paolo
;
Kohn, Robert
- In:
International journal of forecasting
28
(
2012
)
3
,
pp. 749-750
Persistent link: https://www.econbiz.de/10009659823
Saved in:
10
Comment on "Fast sparse regression and classification" by J. H. Friedman
Kapetanios, George
;
Pesaran, M. Hashem
- In:
International journal of forecasting
28
(
2012
)
3
,
pp. 739-740
Persistent link: https://www.econbiz.de/10009659834
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