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type_genre:"Graue Literatur"
isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Jiang, Bin"
~person:"Pan, Guangming"
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Jiang, Bin
Pan, Guangming
Gao, Jiti
62
Peng, Bin
22
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16
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16
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Grose, Simone D.
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Koo, Bonsoo
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Liu, Fei
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Working paper / Department of Econometrics and Business Statistics, Monash University
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Estimation and testing for high- dimensional near unit root time series
Zhang, Bo
;
Gao, Jiti
;
Pan, Guangming
-
2020
Persistent link: https://www.econbiz.de/10012606951
Saved in:
2
Extent pursuit for cross-sectional dependence in large panels
Gao, Jiti
;
Pan, Guangming
;
Yang, Yanrong
;
Zhang, Bo
-
2019
Persistent link: https://www.econbiz.de/10012592809
Saved in:
3
Recursive estimation in large panel data models : theory and practice
Jiang, Bin
;
Yang, Yanrong
;
Gao, Jiti
;
Hsiao, Cheng
-
2017
Persistent link: https://www.econbiz.de/10011781991
Saved in:
4
Bayesian rank selection in multivariate regression
Jiang, Bin
;
Panagiotelis, Anastasios
;
Athanasopoulos, George
-
2016
Persistent link: https://www.econbiz.de/10011781655
Saved in:
5
Estimation of structural breaks in large panels with cross-sectional dependence
Gao, Jiti
;
Pan, Guangming
;
Yang, Yanrong
-
2016
Persistent link: https://www.econbiz.de/10011781747
Saved in:
6
Macroeconomic forecasting for Australia using a large number of predictors
Jiang, Bin
;
Athanasopoulos, George
;
Hyndman, Rob J.
; …
-
2016
Persistent link: https://www.econbiz.de/10011781960
Saved in:
7
Consistent estimation in large heterogeneous panels with multifactor structure endogeneity
Forchini, Giovanni
;
Jiang, Bin
;
Peng, Bin
-
2015
Persistent link: https://www.econbiz.de/10011781263
Saved in:
8
Cross-sectional independence test for a class of parametric panel data models
Pan, Guangming
;
Gao, Jiti
;
Yang, Yanrong
;
Guo, Meihui
-
2015
Persistent link: https://www.econbiz.de/10011781344
Saved in:
9
High dimensional correlation matrices : CLT and its applications
Gao, Jiti
;
Han, Xiao
;
Pan, Guangming
;
Yang, Yanrong
-
2014
Persistent link: https://www.econbiz.de/10011781035
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