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Volumn 12, Issue 1, 2002, Pages 77-84

Marginal maximum a posteriori estimation using Markov chain Monte Carlo

Author keywords

Bayesian computation; Data augmentation; Deconvolution; Missing data; Simulated annealing

Indexed keywords


EID: 0141567816     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1013172322619     Document Type: Article
Times cited : (77)

References (16)
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  • 3
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    • Carter, C.K.1    Kohn, R.2
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    • The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem
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    • Celeux, G.1    Diebolt, J.2
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    • Simultaneous wavelet estimation and deconvolution of reflection seismic signals via Gibbs sampler
    • Cheng Q., Chen R., and Li T. 1996. Simultaneous wavelet estimation and deconvolution of reflection seismic signals via Gibbs sampler. IEEE Transactions on Geoscience and Remote Sensing 34: 377-384.
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    • Cheng, Q.1    Chen, R.2    Li, T.3
  • 7
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    • The simulation smoother for time series models
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    • DeJong, P.1    Shephard, N.2
  • 12
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    • Springer-Verlag Series in Statistics. Springer-Verlag, New York
    • Robert C.P. 1996. The Bayesian Choice, Springer-Verlag Series in Statistics. Springer-Verlag, New York.
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    • Robert, C.P.1
  • 16
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    • A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm
    • Wei G.C.G. and Tanner M.A. 1990. A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm. Journal of the American Statistical Association 85: 699-704.
    • (1990) Journal of the American Statistical Association , vol.85 , pp. 699-704
    • Wei, G.C.G.1    Tanner, M.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.