Hyun woongchoi mcmc_2016

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This document discusses a performance evaluation project using Markov Chain Monte Carlo (MCMC) methods. It explores Markov chains and the Monte Carlo approach for sampling, using the Anaconda2 Python library. References are made to random variables and conclusions drawn from applying MCMC techniques.

Performance evaluation project
Markov Chain Monte Carlo(MCMC)
Hyun Woong Choi

Random variable
Markov Chain + Monte Carlo algorithm = Markov Chain Monte Carlo (MCMC)

Learning / conclusion of work
Markov chain
Monte Carlo Approach
Anaconda2 – python library
Reference
http://twiecki.github.io/blog/2015/11/10/m
cmc-sampling/#Setting-up-the-problem

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