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type_genre:"Working Paper"
~isPartOf:"Report / Econometric Institute, Erasmus University Rotterdam"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~subject:"Bootstrap approach"
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Bootstrap approach
Estimation theory
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Poskitt, Donald Stephen
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Report / Econometric Institute, Erasmus University Rotterdam
Working paper / Department of Econometrics and Business Statistics, Monash University
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30
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Estimation and inference for three-dimensional panel data models
Feng, Guohua
;
Gao, Jiti
;
Liu, Fei
;
Peng, Bin
-
2023
Persistent link: https://www.econbiz.de/10014452624
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2
Consistency of full-sample bootstrap for estimating high-quantile, tail probability, and tail index
Litvinova, Svetlana
;
Silvapulle, Mervyn J.
-
2020
Persistent link: https://www.econbiz.de/10012607652
Saved in:
3
Bagging weak predictors
Hillebrand, Eric
;
Lukas, Manuel
;
Wei, Wei
-
2020
Persistent link: https://www.econbiz.de/10012607673
Saved in:
4
Bootstrapping tail statistics: tail quantile process, Hill estimator, and confidence intervals for highquantiles of heavy tailed distributions
Litvinova, Svetlana
;
Silvapulle, Mervyn J.
-
2018
Persistent link: https://www.econbiz.de/10012583470
Saved in:
5
Bias correction of persistence measures in fractionally integrated models
Grose, Simone D.
;
Martin, Gael M.
;
Poskitt, Donald Stephen
-
2014
-
Revised 13, 29
Persistent link: https://www.econbiz.de/10011780804
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6
Bias reduction of long memory parameter estimators via the pre-filtered Sieve bootstrap
Poskitt, Donald Stephen
;
Martin, Gael M.
;
Grose, Simone D.
-
2014
-
Rev. Ed.
Persistent link: https://www.econbiz.de/10010349989
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7
Half-life estimation based on the bias-corrected bootstrap : a highest density region approach
Kim, Jae H.
;
Silvapulle, Paramsothy
;
Hyndman, Rob J.
-
2006
Persistent link: https://www.econbiz.de/10003361020
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