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1. How to go to the package mode
2. How to install
3. Link to the corresponding doc page
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Hi all !
I was wondering, in the current implementation of Turing, can we use HMC with discrete random variables ?
If yes, which specific file deals with this issue ?
I've recently read this ar…
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We have some undecided interface issues since the introduction of the Hamiltonian Monte Carlo (HMC) sampler. More specifically, we need an interface to tell the HMC sampler which variable it should ha…
yebai updated
6 years ago
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Hamiltonian Monte Carlo (HMC), also known as Hybrid Monte Carlo, is an efficient Markov Chain Monte Carlo (MCMC) method that exploits gradient information to improve on the simpler MCMC methods. See t…
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## Description
Whenever we try to sum kernels in a `gp_pred_rng`, we get a segmentation fault.
I've tried only using the predictive mean, and still, we get a seg fault.
## Example
Here's an ex…
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General
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Maybe re-establish homogeneous and inhomogeneous hamiltonians, fusing neighbours and pairs together. The homogeneous model can assume a single set of constants f…
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This is typically referred to "Galilean Monte Carlo (GMC)" (see, e.g., [this](https://arxiv.org/abs/1312.5638)). The basic idea is to initialize a particle with some velocity `v` and launch it in a ra…
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@LaurenceA, your suggestion in #34 to somehow allow use of MCMCChain and samples with external models is very useful. I want to work towards this direction and my first impression is that your suggest…
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Making an overview here, feel free to correct this list!
- [x] Hamiltonian / Riemannian Monte Carlo. See #104
- [ ] Standard metropolis hastings (non adaptive). See #116
- [ ] SMC. See #80, #120
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Yank 0.21 (omnia channel -conda-) does not recognize the yaml option 'number_of_iterations'.
In Yank 0.20 this option was introduced in the dictionary template_options with the line 1207 of experim…