“MCMC”的版本间差异
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小无编辑摘要 |
小无编辑摘要 |
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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). |
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]] |
The presentation slides can be found here [[File:MCMC.pdf]] |
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All the examples demonstrated during the presentation can be found here: |
All the examples demonstrated during the presentation can be found here: |
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Mathematica notebook [[ |
Mathematica notebook [[File:SHAO.gz]], |
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Python script on Bayesian inference of flipping the coins [[ |
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 [[ |
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 |
If you have any questions, feel free to contact author at jackzcl@outlook.com |
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2016年7月21日 (四) 05:22的版本
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: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