“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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| 第5行： | 第5行： | ||
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 [[MCMC SHAO.gz]], |
Mathematica notebook [[nb:MCMC SHAO.gz]], |
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Python script on Bayesian inference of flipping the coins [[Mc.gz]], |
Python script on Bayesian inference of flipping the coins [[py:Mc.gz]] , |
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and the animation on how Metropolis-Hastings algorithm samples [[Animation.gz]]. |
and the animation on how Metropolis-Hastings algorithm samples [[animation:Animation.gz]]. |
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If you have any questions, feel free to contact |
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) 05:20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 MCMC.pdf
All the examples demonstrated during the presentation can be found here:
Mathematica notebook nb:MCMC SHAO.gz,
Python script on Bayesian inference of flipping the coins py:Mc.gz ,
and the animation on how Metropolis-Hastings algorithm samples animation:Animation.gz.
If you have any questions, feel free to contact author at jackzcl@outlook.com