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Volumn 75, Issue 1, 1996, Pages 69-78

Markov-Normal analysis of iterative simulations before their convergence

Author keywords

EM algorithm; Gibbs sampler; Markov chain Monte Carlo; The multi variate t distribution; Time series

Indexed keywords


EID: 0002129118     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/0304-4076(95)01769-0     Document Type: Article
Times cited : (12)

References (21)
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  • 7
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  • 8
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  • 14
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  • 15
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    • Meng, X.L. and D.B. Rubin, 1991, Using EM to obtain asymptotic variance-covariance matrices: The SEM algorithm, Journal of the American Statistical Association 86, 899-909.
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    • Rubin, D.B., 1987, A noniterative sampling-importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: The SIR algorithm, Comment on The calculation of posterior distributions by data augmentation, by M.A. Tanner and W.H. Wong, Journal of the American Statistical Association 82, 543-546.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.