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1
Predicting individual event attendance with machine learning : a "step-forward" approach
Nguyen, Jeremy K.
;
Karg, Adam
;
Valadkhani, Abbas
; …
- In:
Applied economics
54
(
2022
)
27
,
pp. 3138-3153
Persistent link: https://www.econbiz.de/10013171194
Saved in:
2
Predicting French SME failures : new evidence from machine learning techniques
Schalck, Christophe
;
Yankol-Schalck, Meryem
- In:
Applied economics
53
(
2021
)
51
,
pp. 5948-5963
Persistent link: https://www.econbiz.de/10012627109
Saved in:
3
The cross-section of Indian stock returns : evidence using machine learning
Lalwani, Vaibhav
;
Meshram, Vedprakash
- In:
Applied economics
54
(
2022
)
16
,
pp. 1814-1828
Persistent link: https://www.econbiz.de/10012875645
Saved in:
4
Predicting bid prices by using machine learning methods
Kim, Jong-Min
;
Jung, Hojin
- In:
Applied economics
51
(
2019
)
19
,
pp. 2011-2018
Persistent link: https://www.econbiz.de/10012196635
Saved in:
5
A hybrid deep learning model for Bitcoin price
prediction
: data decomposition and feature selection
Wang, Jikai
;
Feng, Kai
;
Qiao, Gaoxiu
- In:
Applied economics
56
(
2024
)
53
,
pp. 6890-6905
Persistent link: https://www.econbiz.de/10015073766
Saved in:
6
Measuring systemic risk with a dynamic copula-based approach
Jang, Hyun Jin
;
Pan, Xiao
;
Park, Sumin
- In:
Applied economics
53
(
2021
)
50
,
pp. 5843-5863
Persistent link: https://www.econbiz.de/10012627102
Saved in:
7
Short-termism of long-term investors? : the investment behaviour of Dutch
insurance
companies and pension funds
Duijm, Patty
;
Steins Bisschop, Sophie
- In:
Applied economics
50
(
2018
)
31
,
pp. 3376-3387
Persistent link: https://www.econbiz.de/10012038647
Saved in:
8
Determinants of non-life
insurance
expenditure in developed and developing countries : an empirical investigation
Trinh, Tam
;
Nguyễn-Thanh-Xuân
;
Sgro, Pasquale M.
- In:
Applied economics
48
(
2016
)
58/60
,
pp. 5639-5653
Persistent link: https://www.econbiz.de/10011772022
Saved in:
9
Early warning signs : targeting neonatal and infant mortality using machine learning
Brahma, Dweepobotee
;
Mukherjee, Debasri
- In:
Applied economics
54
(
2022
)
1
,
pp. 57-74
Persistent link: https://www.econbiz.de/10012873867
Saved in:
10
A gradient boosting approach to estimating tail risk interconnectedness
Long, Yunshen
;
Zeng, LinQing
;
Wang, Jing
;
Long, Xingchen
; …
- In:
Applied economics
54
(
2022
)
8
,
pp. 862-879
Persistent link: https://www.econbiz.de/10012874756
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