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ECONIS (ZBW)
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BASE
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161
A computational model to predict consumer behaviour during COVID-19 pandemic
Safara, Fatemeh
- In:
Computational economics
59
(
2022
)
4
,
pp. 1525-1538
Persistent link: https://www.econbiz.de/10013261998
Saved in:
162
A synthetic penalized logitboost to model mortgage lending with imbalanced data
Pesantez-Narvaez, Jessica
;
Guillén, Montserrat
; …
- In:
Computational economics
57
(
2021
)
1
,
pp. 281-309
Persistent link: https://www.econbiz.de/10012486902
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163
Nowcasting US GDP using tree-based
ensemble
models and dynamic factors
Soybilgen, Barış
;
Yazgan, Mustafa Ege
- In:
Computational economics
57
(
2021
)
1
,
pp. 387-417
Persistent link: https://www.econbiz.de/10012486916
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164
Artificial intelligence methods for evaluating global trade flows
Batarseh, Feras A.
;
Gopinath, Munisamy
;
Monken, Anderson
-
2020
Persistent link: https://www.econbiz.de/10012438701
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165
Korrektur des Tätigkeitsschlüssels der Bundesagentur für Arbeit mithilfe maschineller Lernverfahren
Schmidt, Elena
- In:
Wirtschaft und Statistik : WISTA
(
2020
)
6
,
pp. 37-47
Ziel des vorgestellten Projekts war, das Merkmal Vollzeit/Teilzeit des Tätigkeitsschlüssels in den Integrierten Erwerbsbiografien der Bundesagentur für Arbeit zu korrigieren. Dies sollte mithilfe des auch in der Verdienststrukturerhebung vorhandenen, aber manuell korrigierten Schlüssels...
Persistent link: https://www.econbiz.de/10012388652
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166
Do auditors reflect the true image of the company contrary to the clients' interests? : an artificial intelligence approach
Sánchez-Medina, Agustín J.
;
Blázquez-Santana, Félix
; …
- In:
Journal of business ethics : JOBE
155
(
2019
)
2
,
pp. 529-545
Persistent link: https://www.econbiz.de/10011998610
Saved in:
167
Business competitive analysis using promoted post detection on social media
Arora, Anuja
;
Srivastava, Aman
;
Bansal, Shivam
- In:
Journal of retailing and consumer services
54
(
2020
),
pp. 1-14
Persistent link: https://www.econbiz.de/10012238376
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168
Examining the information content of residuals from hedonic and spatial models using trees and forests
Pace, R. Kelley
;
Hayunga, Darren
- In:
The journal of real estate finance and economics
60
(
2020
)
1/2
,
pp. 170-180
Persistent link: https://www.econbiz.de/10012226654
Saved in:
169
Google data in bridge equation models for German GDP
Götz, Thomas B.
;
Knetsch, Thomas A.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 45-66
Persistent link: https://www.econbiz.de/10012300574
Saved in:
170
Data analytics for non-life insurance pricing
Wüthrich, Mario V.
;
Buser, Christoph
-
2017
-
Draft lecture notes, version January 27, 2017
regression trees, bagging, random forest,
boosting
machines and neural networks. Finally, we provide methodologies for analysing …
Persistent link: https://www.econbiz.de/10011625588
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