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A new approach to Bayesian hypothesis testing
Li, Yong
;
Zeng, Tao
;
Yu, Jun
- In:
Journal of econometrics
178
(
2014
)
1
,
pp. 602-612
Persistent link: https://www.econbiz.de/10010256849
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2
Deviance information criterion for comparing VAR models
Zeng, Tao
;
Li, Yong
;
Yu, Jun
- In:
Essays in honor of Peter C. B. Phillips
,
(pp. 615-637)
.
2014
Persistent link: https://www.econbiz.de/10010442832
Saved in:
3
An improved Bayesian unit root test in stochastic volatility models
Li, Yong
;
Yu, Jun
- In:
Annals of economics and finance
20
(
2019
)
1
,
pp. 103-122
Persistent link: https://www.econbiz.de/10012110029
Saved in:
4
Deviance information criterion for latent variable models and misspecified models
Li, Yong
;
Yu, Jun
;
Zeng, Tao
- In:
Journal of econometrics
216
(
2020
)
2
,
pp. 450-493
Persistent link: https://www.econbiz.de/10012439750
Saved in:
5
Improved marginal likelihood estimation via power posteriors and importance sampling
Li, Yong
;
Wang, Nianling
;
Yu, Jun
- In:
Journal of econometrics
234
(
2023
)
1
,
pp. 28-52
Persistent link: https://www.econbiz.de/10014364649
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6
Hypothesis testing via posterior-test-based Bayes factors
Li, Yong
;
Wang, Nianling
;
Yu, Jun
;
Zhang, Yonghui
-
2023
Persistent link: https://www.econbiz.de/10014320454
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7
MCMC methods for estimating stochastic volatility models with leverage effects : comments on Jacquier, Polson and Rossi (2002)
Yu, Jun
-
2002
Persistent link: https://www.econbiz.de/10001722236
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8
Multivariate stochastic volatility models : Bayesian estimation and model comparison
Yu, Jun
;
Meyer, Renate
- In:
Econometric reviews
25
(
2006
)
2/3
,
pp. 361-384
Persistent link: https://www.econbiz.de/10003355796
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9
Investigating impacts of self-exciting jumps in returns and volatility : a Bayesian learning approach
Fulop, Andras
;
Li, Junye
;
Yu, Jun
-
2012
Persistent link: https://www.econbiz.de/10010202344
Saved in:
10
Deviance information criterion as a model comparison criterion for stochastic volatility models
Berg, Andreas
;
Meyer, Renate
;
Yu, Jun
-
2002
Persistent link: https://www.econbiz.de/10001690310
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