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~person:"Swanson, Norman R."
~subject:"Forecasting model"
~subject:"Mathematische Optimierung"
~subject:"Welfare analysis"
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Forecasting model
Mathematische Optimierung
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153
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68
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Swanson, Norman R.
Diebold, Francis X.
130
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97
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90
Clark, Todd E.
85
Marcellino, Massimiliano
82
Clements, Michael P.
77
Gupta, Rangan
70
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66
Schorfheide, Frank
65
Hyndman, Rob J.
58
Ravazzolo, Francesco
57
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54
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53
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52
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52
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51
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49
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47
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46
Koop, Gary
46
Creedy, John
45
Bertsimas, Dimitris
43
Drexl, Andreas
43
Pardalos, Panos M.
43
Krueger, Dirk
42
Escudero, Laureano F.
41
Kimms, Alf
41
Zhang, Shuzhong
41
Koopman, Siem Jan
40
Lodi, Andrea
40
Ludwig, Alexander
40
Pierdzioch, Christian
40
Michael, Michael S.
39
Bollerslev, Tim
38
Dijk, Herman K. van
38
Fehr, Hans
38
Granger, C. W. J.
38
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38
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2
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2
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1
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ECONIS (ZBW)
62
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1
A model selection approach to assessing the information in the term structure using linear models and artificial neural networks
Swanson, Norman R.
;
White, Halbert
-
1992
Persistent link: https://www.econbiz.de/10000853617
Saved in:
2
Essays in forecasting stationary and nonstationary stochastic processes
Swanson, Norman R.
-
1994
Persistent link: https://www.econbiz.de/10000916507
Saved in:
3
A model selection approach to real-time macroeconomic forecasting using linear models and artificial neural networks
Swanson, Norman R.
- In:
The review of economics and statistics
79
(
1997
)
4
,
pp. 540-550
Persistent link: https://www.econbiz.de/10001229897
Saved in:
4
A model-selection approach to assessing the information in the term structure using linear models and artificial neural networks
Swanson, Norman R.
- In:
Journal of business & economic statistics : JBES ; a …
13
(
1995
)
3
,
pp. 265-275
Persistent link: https://www.econbiz.de/10001182360
Saved in:
5
Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models
Swanson, Norman R.
- In:
International journal of forecasting
13
(
1997
)
4
,
pp. 439-461
Persistent link: https://www.econbiz.de/10001240454
Saved in:
6
Empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction
Duong, Diep
;
Swanson, Norman R.
- In:
Journal of econometrics
187
(
2015
)
2
,
pp. 606-621
Persistent link: https://www.econbiz.de/10011499786
Saved in:
7
Further evidence on the usefulness of real-time datasets for economic forecasting
Fernández, Andrés
;
Swanson, Norman R.
- In:
Quantitative finance and economics
1
(
2017
)
1
,
pp. 2-25
Persistent link: https://www.econbiz.de/10012137708
Saved in:
8
Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
Kim, Hyun Hak
;
Swanson, Norman R.
- In:
International journal of forecasting
34
(
2018
)
2
,
pp. 339-354
Persistent link: https://www.econbiz.de/10012030940
Saved in:
9
Testing for structural stability of factor augmented forecasting models
Corradi, Valentina
;
Swanson, Norman R.
- In:
Journal of econometrics
182
(
2014
)
1
,
pp. 100-118
Persistent link: https://www.econbiz.de/10010497112
Saved in:
10
Editorial: Causality, prediction, and specification analysis : recent advances and future directions
Chen, Xiaohong
;
Swanson, Norman R.
- In:
Journal of econometrics
182
(
2014
)
1
,
pp. 1-4
Persistent link: https://www.econbiz.de/10010497154
Saved in:
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