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subject:"Innovation"
~isPartOf:"Industrial and corporate change"
~isPartOf:"International journal of forecasting"
~subject:"Neural networks"
~subject:"State space model"
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Innovation
Neural networks
State space model
Theorie
1,028
Theory
1,028
Forecasting model
707
Prognoseverfahren
707
Time series analysis
316
Zeitreihenanalyse
316
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117
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116
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95
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Dosi, Giovanni
4
Malerba, Franco
4
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3
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3
Weron, Rafał
3
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2
Maneesoonthorn, Worapree
2
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2
Martin, Gael M.
2
McCabe, Brendan Peter Martin
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Nightingale, Paul
2
Olivares, Kin G.
2
Orsenigo, Luigi
2
Proietti, Tommaso
2
Sbrana, Giacomo
2
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2
Snyder, Ralph D.
2
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2
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2
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2
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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Industrial and corporate change
International journal of forecasting
Research policy : policy, management and economic studies of science, technology and innovation
168
Discussion paper / Centre for Economic Policy Research
106
NBER working paper series
93
Economics letters
92
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91
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90
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88
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87
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85
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80
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79
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75
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73
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71
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65
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63
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62
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56
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54
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49
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48
European journal of operational research : EJOR
47
Technovation : the international journal of technological innovation, entrepreneurship and technology management
44
Volkswirtschaftliche Diskussionsreihe
41
Management science : journal of the Institute for Operations Research and the Management Sciences
40
European economic review : EER
38
International journal of production research
38
Journal of econometrics
36
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35
Journal of economics
35
The Rand journal of economics
34
Journal of business research : JBR
32
The journal of industrial economics
32
Structural change and economic dynamics : SC+ED
30
Technology analysis & strategic management
29
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28
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ECONIS (ZBW)
106
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1
Should I open to forecast? : implications from a multi-country unobserved components model with sparse factor stochastic volatility
Wu, Ping
- In:
International journal of forecasting
40
(
2024
)
3
,
pp. 903-917
Persistent link: https://www.econbiz.de/10014547224
Saved in:
2
Probabilistic hierarchical forecasting with deep Poisson mixtures
Olivares, Kin G.
;
Nganba Meetei, O.
;
Ma, Ruijun
;
Reddy, …
- In:
International journal of forecasting
40
(
2024
)
2
,
pp. 470-489
Persistent link: https://www.econbiz.de/10014547171
Saved in:
3
Innovation and the labor market : theory, evidence, and challenges
Corrocher, Nicoletta
;
Moschella, Daniele
;
Staccioli, Jacopo
- In:
Industrial and corporate change
33
(
2024
)
3
,
pp. 519-540
Persistent link: https://www.econbiz.de/10014634219
Saved in:
4
Deep probabilistic Koopman : long-term time-series forecasting under periodic uncertainties
Mallen, Alex T.
;
Lange, Henning
;
Kutz, J. Nathan
- In:
International journal of forecasting
40
(
2024
)
3
,
pp. 859-868
Persistent link: https://www.econbiz.de/10014547213
Saved in:
5
Portfolio selection under non-gaussianity and systemic risk : a machine learning based forecasting approach
Lin, Weidong
;
Taamouti, Abderrahim
- In:
International journal of forecasting
40
(
2024
)
3
,
pp. 1179-1188
Persistent link: https://www.econbiz.de/10014547268
Saved in:
6
Forecasting day-ahead electricity prices with spatial dependence
Yang, Yifan
;
Guo, Ju'e
;
Li, Yi
;
Zhou, Jiandong
- In:
International journal of forecasting
40
(
2024
)
3
,
pp. 1255-1270
Persistent link: https://www.econbiz.de/10014547277
Saved in:
7
Innovating Big Tech firms and competition policy : favoring dynamic over static competition
Petit, Nicolas
;
Teece, David J.
- In:
Industrial and corporate change
30
(
2021
)
5
,
pp. 1168-1198
Persistent link: https://www.econbiz.de/10012798903
Saved in:
8
Neural basis expansion analysis with exogenous variables : forecasting electricity prices with NBEATSx
Olivares, Kin G.
;
Challu, Cristian
;
Marcjasz, Grzegorz
; …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 884-900
Persistent link: https://www.econbiz.de/10014465161
Saved in:
9
The RWDAR model : a novel state-space approach to forecasting
Sbrana, Giacomo
;
Silvestrini, Andrea
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 922-937
Persistent link: https://www.econbiz.de/10014465165
Saved in:
10
Deep learning models for visibility forecasting using climatological data
Ortega, Luz C.
;
Otero, Luis Daniel
;
Solomon, Mitchell
; …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 992-1004
Persistent link: https://www.econbiz.de/10014465190
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