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Volumn 3, Issue , 2002, Pages

A reversible jump markov chain Monte Carlo algorithm for analysis of functional neuroimages

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; NEUROLOGY; PARAMETER ESTIMATION; SIGNAL DETECTION; SPURIOUS SIGNAL NOISE;

EID: 0036453734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 1
    • 0033349354 scopus 로고    scopus 로고
    • A joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC
    • Andrieu, C. and A. Doucet, "A Joint Bayesian Model Selection and Estimation of Noisy Sinusoids via Reversible Jump MCMC," IEEE Transactions on Signal Processing. vol. 47, pp. 2667-2676, 1999.
    • (1999) IEEE Transactions on Signal Processing , vol.47 , pp. 2667-2676
    • Andrieu, C.1    Doucet, A.2
  • 2
    • 0032477723 scopus 로고    scopus 로고
    • Imaging neuroscience: Principles or maps?
    • Friston, K. J., "Imaging Neuroscience: Principles or Maps?" Proc Natl Acad Sci, vol. 95, pp. 796-802, 1998.
    • (1998) Proc Natl Acad Sci , vol.95 , pp. 796-802
    • Friston, K.J.1
  • 3
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • Green, P. J., "Reversible Jump Markov chain Monte Carlo Computation and Bayesian Model Determination," Biometrika, vol. 82, pp. 711-32, 1995.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 4
    • 0033647016 scopus 로고    scopus 로고
    • Spatial mixture modeling of fMRI data
    • Hartvig, N. V. and J. L. Jensen, "Spatial Mixture Modeling of fMRI Data," Human Brain Mapping, vol. 11, pp. 233-248, 2000.
    • (2000) Human Brain Mapping , vol.11 , pp. 233-248
    • Hartvig, N.V.1    Jensen, J.L.2
  • 8
    • 0034366269 scopus 로고    scopus 로고
    • Bayesian inference in hidden markov models through the reversible jump markov chain Monte Carlo method
    • Robert, C. P., T. Ryden, and D. M. Titterington, "Bayesian inference in hidden Markov models through the reversible jump Markov chain Monte Carlo method," Journal of Royal Statistical Society, vol. 62, pp. 57-75, 2000.
    • (2000) Journal of Royal Statistical Society , vol.62 , pp. 57-75
    • Robert, C.P.1    Ryden, T.2    Titterington, D.M.3
  • 9
    • 0035422134 scopus 로고    scopus 로고
    • Minimum entropy data partitioning using reversible jump markov chain Monte Carlo
    • Roberts, S. J., C. Holmes, and D. D., "Minimum entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo," IEEE Transactions on PAMI, vol. 23, pp. 909-914, 2001.
    • (2001) IEEE Transactions on PAMI , vol.23 , pp. 909-914
    • Roberts, S.J.1    Holmes, C.2
  • 11
    • 0030826249 scopus 로고    scopus 로고
    • An overview and some new developments in the statistical analysis of PET and fMRI data
    • Worsley, K. J., "An Overview and Some New Developments in the Statistical Analysis of PET and fMRI Data," Human Brain Mapping, vol. 5, pp. 254-258, 1997.
    • (1997) Human Brain Mapping , vol.5 , pp. 254-258
    • Worsley, K.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.