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Forecasting model
4
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Gradient boosting
3
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Computational economics
Computational Optimization and Applications
37
The European Physical Journal B - Condensed Matter and Complex Systems
33
IZA Discussion Papers
32
Physica A: Statistical Mechanics and its Applications
28
European journal of operational research : EJOR
25
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Computers & operations research : and their applications to problems of world concern ; an international journal
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7
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7
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6
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Stochastic Processes and their Applications
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Asia-Pacific Journal of Operational Research (APJOR)
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1
Computational performance of deep reinforcement learning to find Nash equilibria
Graf, Christoph
;
Zobernig, Viktor
;
Schmidt, Johannes
; …
- In:
Computational economics
63
(
2024
)
2
,
pp. 529-576
Persistent link: https://www.econbiz.de/10014472392
Saved in:
2
Portfolio optimization via online
gradient
descent and risk control
Yamim, J. D. M.
;
Borges, C. C. H.
;
Neto, R. F.
- In:
Computational economics
62
(
2023
)
1
,
pp. 361-381
Persistent link: https://www.econbiz.de/10014327502
Saved in:
3
Solving high-dimensional dynamic portfolio choice models with hierarchical B-splines on sparse grids
Schober, Peter
;
Valentin, Julian
;
Pflüger, Dirk
- In:
Computational economics
59
(
2022
)
1
,
pp. 185-224
Persistent link: https://www.econbiz.de/10013168972
Saved in:
4
A comparison of different rules on loans evaluation in peer-to-peer lending by
gradient
boosting models under moving windows with two timestamps
Zhou, Ligang
;
Ma, Chao
- In:
Computational economics
62
(
2023
)
4
,
pp. 1481-1504
Persistent link: https://www.econbiz.de/10014437382
Saved in:
5
Do gas price and uncertainty indices forecast crude oil prices? : fresh evidence through XGBoost modeling
Tissaoui, Kais
;
Zaghdoudi, Taha
;
Hakimi, Abdelaziz
; …
- In:
Computational economics
62
(
2023
)
2
,
pp. 663-687
Persistent link: https://www.econbiz.de/10014382756
Saved in:
6
Predicting firm-level bankruptcy in the Spanish economy using extreme
gradient
boosting
Smith, Matthew
;
Alvarez González, Francisco
- In:
Computational economics
59
(
2022
)
1
,
pp. 263-295
Persistent link: https://www.econbiz.de/10013168987
Saved in:
7
Economic policy uncertainty index meets ensemble learning
Lolić, Ivana
;
Sorić, Petar
;
Logarušić, Marija
- In:
Computational economics
60
(
2022
)
2
,
pp. 401-437
Persistent link: https://www.econbiz.de/10013380776
Saved in:
8
On the solution of the Black-Scholes equation using feed-forward neural networks
Eskiizmirliler, Saadet
;
Günel, Korhan
;
Polat, Refet
- In:
Computational economics
58
(
2021
)
3
,
pp. 915-941
Persistent link: https://www.econbiz.de/10012651048
Saved in:
9
Forecasting of real GDP growth using machine learning models :
gradient
boosting and random forest approach
Yoon, Jaehyun
- In:
Computational economics
57
(
2021
)
1
,
pp. 247-265
Persistent link: https://www.econbiz.de/10012486898
Saved in:
10
Improving financial distress prediction using financial network-based information and GA-based
gradient
Boosting method
Liu, Jiaming
;
Wu, Chong
;
Li, Yongli
- In:
Computational economics
53
(
2019
)
2
,
pp. 851-872
Persistent link: https://www.econbiz.de/10012134893
Saved in:
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