A probabilistic solution to the MEG inverse problem via MCMC methods: The reversible jump and parallel tempering algorithms

IEEE Transactions on Biomedical Engineering

Volumn 48, Issue 5, 2001, Pages 533-542

  Bertrand, Cédric ^a   Ohmi, Masao ^a   Suzuki, Ryoji ^a   Kado, Hisashi ^a  

^a KANAZAWA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Bayesian model; Inverse problem; Magnetoencephalography (MEG); Markov chain Monte Carlo methods (MCMC)

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; NEUROLOGY; PROBABILITY DISTRIBUTIONS;

REVERSIBLE JUMP (RJ);

MAGNETOENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; BAYES THEOREM; DIAGNOSTIC ERROR; IMAGING; IMPEDANCE; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL ANALYSIS; METHODOLOGY; MODEL; SIMULATION; SYSTEM ANALYSIS;

ALGORITHMS; BAYES THEOREM; MAGNETOENCEPHALOGRAPHY; MARKOV CHAINS; MODELS, STATISTICAL;

EID: 0035035210     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.918592     Document Type: Article

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