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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | Theses and Dissertations |
| منشور في: |
2008
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10356/5617 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| المؤسسة: | Nanyang Technological University |
| id |
sg-ntu-dr.10356-5617 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.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 |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| topic |
DRNTU::Engineering::Bioengineering |
| spellingShingle |
DRNTU::Engineering::Bioengineering Chin, Siew Hoo. Gibbs sampler approval to biomedical data problem analysis |
| 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. |
| author2 |
Chin, Teck Chai |
| author_facet |
Chin, Teck Chai Chin, Siew Hoo. |
| format |
Theses and Dissertations |
| author |
Chin, Siew Hoo. |
| author_sort |
Chin, Siew Hoo. |
| title |
Gibbs sampler approval to biomedical data problem analysis |
| title_short |
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_sort |
gibbs sampler approval to biomedical data problem analysis |
| publishDate |
2008 |
| url |
http://hdl.handle.net/10356/5617 |
| _version_ |
1761781383727939584 |