Monte Carlo Methods

author: Arnaud Doucet, Department of Statistics, University of Oxford
published: Oct. 12, 2011,   recorded: September 2011,   views: 17949
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Description

We will first review the Monte Carlo principle and standard Monte Carlo methods including rejection sampling, importance sampling and standard Markov chain Monte Carlo (MCMC) methods. We will then discuss more advanced MCMC methods such as adaptive MCMC methods and auxiliary variable methods such as parallel tempering, particle MCMC methods and slice sampling.

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Reviews and comments:

Comment1 Fatemeh Gorgannejad, October 29, 2018 at 9:50 p.m.:

Hello,
It is a wonderful video. How could I download it?
Are there any PDF files on this presentation to download?

Thanks,
Fatemeh

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