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So I've now got (hopefully) working implementations of several hamiltonian monte carlo integrators, including all possible combinations of (HMC / GHMC) with RESPA and extra chance hamiltonian monte ca…
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We have a timeline for the project [here](https://github.com/numfocus/gsoc/blob/master/2015/proposals/Amit.md). We have the following broad pointers to implement :
1. Propagator types for RK methods, …
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In #938, we identified conditional termination as one possible way to extend the ability of CustomIntegrator to handle logic and decision making. The key idea is that this might be way to create some…
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FYI, I stumbled upon a book [here](http://www.mcmchandbook.net/HandbookTableofContents.html). At first glance, it looks **very** thorough, although only a few chapters are online.
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```
What steps will reproduce the problem?
1. Run about() or demos() in an iPython environment
2.
3.
What is the expected output? What do you see instead?
Expected: stable GUI box
Instead: GUI box ap…
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So I've been implementing several hamiltonian monte carlo techniques using the CustomIntegrator class. I've encountered a couple of potential stumbling blocks that people might have some insight on.
…
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It would be very cute to use the log-likelihood function and gradient from the rate matrix code to run hamiltonian monte carlo. I think the way to do it well is with [NUTS](http://arxiv.org/abs/1111.4…
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So I've been implementing and debugging various hamiltonian monte carlo methods. For most systems, my methods seem to be working, as measured by comparing the expected value of the potential energy w…
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Let us document some key words for JuliaQuantum projects. Comment below if anything is missing or categorized badly or improper. Features have been implemented should also documented here. Details ca…
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This is the issue for the next manual. All manual-related requests and patches should go here. There will be a branch named after the issue as soon as someone creates one that can also be modified d…