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subject:"Monte-Carlo-Simulation"
subject:"Panel study"
~isPartOf:"Cambridge working papers in economics"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Martin, Gael M."
~person:"Silvapulle, Mervyn J."
~subject:"Statistical distribution"
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Martin, Gael M.
Silvapulle, Mervyn J.
Gao, Jiti
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Yang, Yanrong
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Cambridge working papers in economics
Working paper / Department of Econometrics and Business Statistics, Monash University
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1
Working papers / Rutgers University, Department of Economics
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Computing bayes : from then 'til now
Martin, Gael M.
;
Frazier, David T.
;
Robert, Christian P.
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2022
Persistent link: https://www.econbiz.de/10013494406
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2
Computing Bayes : Bayesian computation from 1763 to the 21st century
Martin, Gael M.
;
Frazier, David T.
;
Robert, Christian P.
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2020
Persistent link: https://www.econbiz.de/10012607643
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3
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
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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
Data-driven particle filters for Particle Markov Chain Monte Carlo
Leung, Patrick
;
Forbes, Catherine Scipione
;
Martin, Gael M.
-
2016
Persistent link: https://www.econbiz.de/10011781784
Saved in:
6
Testing for a structural break in dynamic panel data models with common factors
Zhu, Huanjun
;
Sarafidis, Vasilis
;
Silvapulle, Mervyn J.
; …
-
2015
Persistent link: https://www.econbiz.de/10011781404
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