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== Markov Chain Monte Carlo Method == |
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This page contains all the relevant materials on Markov Chain Monte Carlo method, the presentation was given by internship student Chaoli Zhang (under supervision of Prof. Li Chen and Prof. Zhengyi Shao). |
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The presentation slides can be found here [[MCMC.pdf]] |
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All the examples demonstrated during the presentation can be found here: |
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*This page contains all the relevant materials on Markov Chain Monte Carlo method, the presentation was given by internship student Chaoli Zhang (under supervision of Prof. Li Chen and Prof. Zhengyi Shao). |
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*The presentation slides can be found here [[ File:MCMC.pdf]] |
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Mathematica notebook [[ MCMC SHAO.gz]], |
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*All the examples demonstrated during the presentation can be found here: |
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Python script on Bayesian inference of flipping the coins [[Mc.gz]] , |
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#Mathematica notebook [[ File:MCMC_SHAO.gz]], |
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and the animation on how Metropolis-Hastings algorithm samples [[Animation.gz]]. |
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#Python script on Bayesian inference of flipping the coins [[ File:Mc.gz]] |
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#and the animation on how Metropolis-Hastings algorithm samples [[ File:Animation.gz]]. |
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If you have any questions, feel free to contact Author at jackzcl@outlook.com |
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If you have any questions, feel free to contact author at jackzcl@outlook.com |
2016年7月26日 (二) 04:13的最新版本
Markov Chain Monte Carlo Method
- This page contains all the relevant materials on Markov Chain Monte Carlo method, the presentation was given by internship student Chaoli Zhang (under supervision of Prof. Li Chen and Prof. Zhengyi Shao).
- The presentation slides can be found here
- All the examples demonstrated during the presentation can be found here:
- Mathematica notebook 文件:MCMC SHAO.gz,
- Python script on Bayesian inference of flipping the coins 文件:Mc.gz
- and the animation on how Metropolis-Hastings algorithm samples 文件:Animation.gz.
If you have any questions, feel free to contact author at jackzcl@outlook.com