Modelling and analysis of biomedical data using Markov chain Monte Carlo

Modelling and analysis of biomedical data using Markov chain Monte Carlo

The 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.

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Bibliographic Details
Main Author: Tao, Bo.
Other Authors: Chin, Teck Chai
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/3412
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Institution: Nanyang Technological University
Description
Summary:The 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.

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