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~person:"Martin, Gael M."
~source:"econis"
~subject:"Unit root test"
~subject:"Zustandsraummodell"
~type_genre:"Non-commercial literature"
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Martin, Gael M.
Koopman, Siem Jan
53
Gil-Alaña, Luis A.
22
Phillips, Peter C. B.
19
Caporale, Guglielmo Maria
15
Grassi, Stefano
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Brakel, Jan A. van den
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Lütkepohl, Helmut
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Saikkonen, Pentti
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Bos, Charles S.
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Chan, Joshua
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Dijk, Herman K. van
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Hindrayanto, Irma
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Lucas, André
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Nielsen, Morten Ørregaard
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Snyder, Ralph D.
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Lanne, Markku
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Ooms, Marius
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Palm, Franz C.
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Strachan, Rodney W.
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Taylor, Robert
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Benati, Luca
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Johansen, Søren
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Wagner, Martin
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Gao, Jiti
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Gupta, Rangan
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Herwartz, Helmut
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Working paper / Department of Econometrics and Business Statistics, Monash University
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ECONIS (ZBW)
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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
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:
3
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:
4
Approximate Bayesian computation in state space models
Martin, Gael M.
;
McCabe, Brendan Peter Martin
; …
-
2014
Persistent link: https://www.econbiz.de/10011780814
Saved in:
5
Auxiliary likelihood-based approximate Bayesian computation in state space models
Martin, Gael M.
;
McCabe, Brendon P. M.
;
Frazier, David T.
; …
-
2016
Persistent link: https://www.econbiz.de/10011781699
Saved in:
6
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:
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