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~person:"Chan, Joshua"
~subject:"Bayes-Statistik"
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Bayes-Statistik
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Chan, Joshua
Ravazzolo, Francesco
34
Casarin, Roberto
20
Dijk, Herman K. van
20
Billio, Monica
18
Strachan, Rodney W.
16
Woitek, Ulrich
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Zhang, Xinyu
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Moral-Benito, Enrique
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Doppelhofer, Gernot
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Inoue, Atsushi
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Korobilis, Dimitris
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Weeks, Melvyn
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Kilian, Lutz
7
Baumeister, Christiane
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Binning, Andrew
6
Hamilton, James D.
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Khramov, Vadim
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Maih, Junior
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Cheung, Yin-Wong
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Clark, Todd E.
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Farmer, Roger E. A.
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Geweke, John
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Giacomini, Raffaella
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Kitagawa, Toru
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Pettenuzzo, Davide
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Ratto, Marco
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Basturk, Nalan
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Chan, Joshua C. C.
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1
An automated prior robustness analysis in Bayesian model comparison
Chan, Joshua
;
Jacobi, Liana
;
Zhu, Dan
- In:
Journal of applied econometrics
37
(
2022
)
3
,
pp. 583-602
Persistent link: https://www.econbiz.de/10013186701
Saved in:
2
An automated prior robustness analysis in Bayesian model comparison
Chan, Joshua
;
Jacobi, Liana
;
Zhu, Dan
-
2019
Persistent link: https://www.econbiz.de/10012223998
Saved in:
3
Specification tests for time-varying parameter models with stochastic volatility
Chan, Joshua
-
2015
Persistent link: https://www.econbiz.de/10011758150
Saved in:
4
Stochastic model specification search for time-varying parameter VARs
Eisenstat, Eric
;
Chan, Joshua
;
Strachan, Rodney W.
-
2014
Persistent link: https://www.econbiz.de/10010348808
Saved in:
5
Specification tests for time-varying parameter models with stochastic volatility
Chan, Joshua
- In:
Econometric reviews
37
(
2018
)
6/10
,
pp. 807-823
Persistent link: https://www.econbiz.de/10012040412
Saved in:
6
Stochastic model specification search for time-varying parameter VARs
Eisenstat, Eric
;
Chan, Joshua
;
Strachan, Rodney W.
- In:
Econometric reviews
35
(
2016
)
8/10
,
pp. 1638-1665
Persistent link: https://www.econbiz.de/10011592382
Saved in:
7
Priors and posterior computation in linear endogenous variable models with imperfect instruments
Chan, Joshua
;
Tobias, Justin L.
- In:
Journal of applied econometrics
30
(
2015
)
4
,
pp. 650-674
Persistent link: https://www.econbiz.de/10011332855
Saved in:
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