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Volumn 17, Issue 4, 1999, Pages 456-465

Bayesian analysis of an unobserved-component time series model of GDP with markov-switching and time-varying growths

Author keywords

Gibbs sampler; Kalman filter; Metropolis algorithm; Switching regime

Indexed keywords


EID: 0033455333     PISSN: 07350015     EISSN: 15372707     Source Type: Journal    
DOI: 10.1080/07350015.1999.10524833     Document Type: Article
Times cited : (14)

References (15)
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  • 5
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  • 9
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    • Keeping the Gibbs Sampler Going for an Unobserved Component Time Series Model of GNP
    • Vrije Univer-siteit, Dept, of Economics and Econometrics
    • Luginbuhl, R. (1997), “Keeping the Gibbs Sampler Going for an Unobserved Component Time Series Model of GNP,” mimeo, Vrije Univer-siteit, Dept, of Economics and Econometrics.
    • (1997) Mimeo
    • Luginbuhl, R.1
  • 10
    • 85011145949 scopus 로고    scopus 로고
    • Bayesian Analysis of an Unobserved Component Time Series Model of GNP with Markov Switching, Time Varying Growths, and Seasonal Factors
    • Vrije Univer-siteit, Dept, of Economics and Econometrics
    • Luginbuhl, R., and de Vos, A. (1997), “Bayesian Analysis of an Unobserved Component Time Series Model of GNP with Markov Switching, Time Varying Growths, and Seasonal Factors,” mimeo, Vrije Univer-siteit, Dept, of Economics and Econometrics.
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    • Luginbuhl, R.1    De Vos, A.2
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  • 14
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    • Bayesian Computation via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.