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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...
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".
Great video, thank you!