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~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
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Working paper / Department of Econometrics and Business Statistics, Monash University
Journal of econometrics
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135
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67
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1
A localised neural network with dependent data: estimation and inference
Gao, Jiti
;
Peng, Bin
;
Yang, Yanrong
-
2023
Persistent link: https://www.econbiz.de/10014452592
Saved in:
2
Estimation of semiparametric multi- index models using deep neural networks
Donga, Chaohua
;
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2023
Persistent link: https://www.econbiz.de/10014452599
Saved in:
3
Multi-level panel data models : estimation and empirical analysis
Feng, Guohua
;
Gao, Jiti
;
Peng, Bin
-
2022
Persistent link: https://www.econbiz.de/10013193952
Saved in:
4
Productivity convergence in manufacturing : a hierarchical panel data approach
Feng, Guohua
;
Gao, Jiti
;
Peng, Bin
-
2021
Persistent link: https://www.econbiz.de/10012697185
Saved in:
5
Investor-herding and risk-profiles : a State-Space model-based assessment
Nath, Harminder B.
;
Brooks, Robert
-
2020
Persistent link: https://www.econbiz.de/10012606907
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6
Most powerful test against high dimensional free alternatives
He, Yi
;
Jaidee, Sombut
;
Gao, Jiti
-
2020
Persistent link: https://www.econbiz.de/10012606966
Saved in:
7
Feature-based forecast-model performance prediction
Talagala, Thiyanga S.
;
Li, Feng
;
Kang, Yanfei
-
2019
Persistent link: https://www.econbiz.de/10012598900
Saved in:
8
Semiparametric single-index predictive regression
Zhou, Weilun
;
Gao, Jiti
;
Harris, David
;
Kew, Hsein
-
2019
Persistent link: https://www.econbiz.de/10012606715
Saved in:
9
Fast forecast reconciliation using linear models
Ashouri, Mahsa
;
Hyndman, Rob J.
;
Shmueli, Galit
-
2019
Persistent link: https://www.econbiz.de/10012606728
Saved in:
10
An integrated panel data approach to modelling economic growth
Feng, Guohua
;
Gao, Jiti
;
Peng, Bin
-
2019
Persistent link: https://www.econbiz.de/10012592253
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