Multiple chains, burn-in, Gelman-Rubin diagnostic

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Skills You'll Learn

Gibbs Sampling, Bayesian Statistics, Bayesian Inference, R Programming

Reviews

4.8 (470 ratings)

  • 5 stars
    83.19%
  • 4 stars
    12.76%
  • 3 stars
    2.12%
  • 2 stars
    0.85%
  • 1 star
    1.06%

TO

Nov 23, 2020

I learned a lot about MCMC. This course is taught using R, but I personally was also working on it in python at the same time. I would love to try a higher class. Thank you!

AD

Aug 21, 2023

I loved the structure very much. At the end we have to do a project and review peer project. This idea is very good. The teaching is also very through and structured.

From the lesson

Markov chain Monte Carlo (MCMC)

Metropolis-Hastings, Gibbs sampling, assessing convergence

Taught By

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    Matthew Heiner

    Doctoral Student

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