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~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Martin, Gael M."
~subject:"Time series analysis"
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Martin, Gael M.
Hyndman, Rob J.
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Working paper / Department of Econometrics and Business Statistics, Monash University
International journal of forecasting
3
Proceedings of the 1995 Econometrics Conference at Monash : Melbourne, Victoria, 13 - 14 July 1995
1
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An assessment of alternative state space models for count time series
Snyder, Ralph D.
;
Martin, Gael M.
;
Gould, Phillip
; …
-
2007
Persistent link: https://www.econbiz.de/10003486451
Saved in:
2
Bias reduction of long memory parameter estimators via the pre-filtered sieve bootstrap
Poskitt, Donald Stephen
;
Martin, Gael M.
;
Grose, Simone D.
-
2012
Persistent link: https://www.econbiz.de/10009565418
Saved in:
3
Fractional cointegration : Bayesian inferences using a Jeffreys prior
Martin, Gael M.
-
1997
Persistent link: https://www.econbiz.de/10000978697
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4
Approximate Bayesian forecasting
Frazier, David T.
;
Maneesoonthorn, Worapree
;
Martin, Gael M.
-
2018
Persistent link: https://www.econbiz.de/10012583287
Saved in:
5
Forecasting observables with particle filters : any filter will do!
Leung, Patrick
;
Forbes, Catherine Scipione
;
Martin, Gael M.
-
2019
Persistent link: https://www.econbiz.de/10012606152
Saved in:
6
Focused Bayesian prediction
Loiza-Maya, Ruben
;
Martin, Gael M.
;
Frazier, David T.
-
2020
Persistent link: https://www.econbiz.de/10012606751
Saved in:
7
Variational Bayes in state space models : inferential and predictive accuracy
Frazier, David T.
;
Loiza-Maya, Ruben
;
Martin, Gael M.
-
2022
Persistent link: https://www.econbiz.de/10013193949
Saved in:
8
Approximate Bayesian computation in state space models
Martin, Gael M.
;
McCabe, Brendan Peter Martin
; …
-
2014
Persistent link: https://www.econbiz.de/10011780814
Saved in:
9
Construction and visualization of optimal confidence sets for frequentist distributional forecasts
Harris, David
;
Martin, Gael M.
;
Perera, Indeewara
; …
-
2017
Persistent link: https://www.econbiz.de/10011782085
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