dc.contributor.authorTao, Bo.en_US
dc.date.accessioned2008-09-17T09:29:34Z
dc.date.available2008-09-17T09:29:34Z
dc.date.copyright2002en_US
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/10356/3412
dc.description.abstractThe aim of this dissertation is to present the problem of biomedical model analysis using Markov Chain Monte Carlo (MCMC), and to provide pointers to the literature for further details. We also present a case study using the most basic of MCMC techniques, the Gibbs sampler.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
dc.titleModelling and analysis of biomedical data using Markov chain Monte Carlo.en_US
dc.typeThesisen_US
dc.contributor.supervisorChin, Teck Chai.en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMSC(COMPUTER CONTROL and AUTOMATION)en_US


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