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ECONIS (ZBW)
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1
Bayesian collapsed Gibbs sampling for a stochastic volatility model with a Dirichlet process mixture
Wu, Frank C. Z.
- In:
Journal of applied econometrics
39
(
2024
)
4
,
pp. 697-704
Persistent link: https://www.econbiz.de/10014562850
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2
Performance comparison of alternative stochastic volatility models and its determinants in energy futures : COVID-19 and Russia-Ukraine conflict features
Fernandes, Mário Correia
;
Dias, José Carlos
;
Nunes, …
- In:
The journal of futures markets
44
(
2024
)
3
,
pp. 343-383
Persistent link: https://www.econbiz.de/10014475488
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3
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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4
Hierarchical Bayesian hedonic regression analysis of Japanese rice wine : is the price right?
Saito, Wakuo
;
Nakatsuma, Teruo
- In:
International journal of wine business research
35
(
2023
)
2
,
pp. 256-277
Persistent link: https://www.econbiz.de/10014335848
Saved in:
5
Modelling and forecasting COVID-19 stock returns using asymmetric GARCH-ICAPM with mixture and heavy-tailed distributions
Rewat Khanthaporn
;
Wichitaksorn, Nuttanan
- In:
Applied economics
55
(
2023
)
51
,
pp. 6042-6061
Persistent link: https://www.econbiz.de/10014335891
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6
Bayesian learning in performance : is there any?
Tsionas, Efthymios G.
- In:
European journal of operational research : EJOR
311
(
2023
)
1
,
pp. 263-282
Persistent link: https://www.econbiz.de/10014336445
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7
Cross-sector comovements and policy impact in the COVID-19 stock market : a dynamic factor approach
Yang, Joy D. Xiuyao
- In:
Global finance journal
56
(
2023
),
pp. 1-33
Persistent link: https://www.econbiz.de/10014478952
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8
Sequential Bayesian analysis for semiparametric stochastic volatility model with applications
Wang, Nianling
;
Lou, Zhusheng
- In:
Economic modelling
123
(
2023
),
pp. 1-10
Persistent link: https://www.econbiz.de/10014462582
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9
Markov
chain
Monte
Carlo
approach to the analysis of response patterns in data collection process
Chun, Young H.
;
Watson, Edward
- In:
INFOR : information systems and operational research
61
(
2023
)
4
,
pp. 509-529
Persistent link: https://www.econbiz.de/10014393004
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10
Estimating outcomes in the presence of endogeneity and measurement error with an application to R&D
De Silva, Dakshina G.
;
Hubbard, Timothy P.
;
Schiller, …
- In:
The quarterly review of economics and finance : journal …
88
(
2023
),
pp. 278-294
Persistent link: https://www.econbiz.de/10014428069
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