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What are divergent iterations and what to do about them?

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  • Опубликовано: 13 ноя 2018
  • This video explains what are meant by divergent iterations in Hamiltonian Monte Carlo and NUTS, how they arise and the problems they cause. I also explain how best to remedy this issue.
    This video is part of a lecture course which closely follows the material covered in the book, "A Student's Guide to Bayesian Statistics", published by Sage, which is available to order on Amazon here: www.amazon.co.uk/Students-Gui...
    For more information on all things Bayesian, have a look at: ben-lambert.com/bayesian/. The playlist for the lecture course is here: • A Student's Guide to B...

Комментарии • 2

  • @alanmaloney2791
    @alanmaloney2791 4 года назад

    Very nice video/explanation. As a recent "convert" to the amazing (out of the box) performance with HMC in STAN, this video is most helpful as I try to get my head around what is happening "under the hood".

  • @szymonkonradsacher7937
    @szymonkonradsacher7937 5 лет назад

    Great video, thank you!