Gibbs sampler approval to biomedical data problem analysis
The modelling and analysis of missing medical data are done using the Bayesian Markov Chain Monte Carlo (MCMC) methods. WinBUGS, an interactive windows program for Bayesian analysis of complex statistical models using Markov Chain Monte Carlo (MCMC) techniques are applied to aid our understanding of...
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Format: | Thesis |
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2008
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Online Access: | http://hdl.handle.net/10356/5617 |
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author | Chin, Siew Hoo. |
author2 | Chin, Teck Chai |
author_facet | Chin, Teck Chai Chin, Siew Hoo. |
author_sort | Chin, Siew Hoo. |
collection | NTU |
description | The modelling and analysis of missing medical data are done using the Bayesian Markov Chain Monte Carlo (MCMC) methods. WinBUGS, an interactive windows program for Bayesian analysis of complex statistical models using Markov Chain Monte Carlo (MCMC) techniques are applied to aid our understanding of applying Bayesian theory to evaluate missing medical data. |
first_indexed | 2024-10-01T03:54:21Z |
format | Thesis |
id | ntu-10356/5617 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T03:54:21Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-10356/56172023-03-11T17:06:18Z Gibbs sampler approval to biomedical data problem analysis Chin, Siew Hoo. Chin, Teck Chai School of Mechanical and Production Engineering DRNTU::Engineering::Bioengineering The modelling and analysis of missing medical data are done using the Bayesian Markov Chain Monte Carlo (MCMC) methods. WinBUGS, an interactive windows program for Bayesian analysis of complex statistical models using Markov Chain Monte Carlo (MCMC) techniques are applied to aid our understanding of applying Bayesian theory to evaluate missing medical data. Master of Science (Biomedical Engineering) 2008-09-17T10:55:05Z 2008-09-17T10:55:05Z 2004 2004 Thesis http://hdl.handle.net/10356/5617 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Bioengineering Chin, Siew Hoo. Gibbs sampler approval to biomedical data problem analysis |
title | Gibbs sampler approval to biomedical data problem analysis |
title_full | Gibbs sampler approval to biomedical data problem analysis |
title_fullStr | Gibbs sampler approval to biomedical data problem analysis |
title_full_unstemmed | Gibbs sampler approval to biomedical data problem analysis |
title_short | Gibbs sampler approval to biomedical data problem analysis |
title_sort | gibbs sampler approval to biomedical data problem analysis |
topic | DRNTU::Engineering::Bioengineering |
url | http://hdl.handle.net/10356/5617 |
work_keys_str_mv | AT chinsiewhoo gibbssamplerapprovaltobiomedicaldataproblemanalysis |