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Hamiltonian Monte Carlo (HMC) is a widely used, gradient based, MCMC algorithm, that is the backbone of Stan's inference. I plan to implement it for monad-bayes. Todos (checkboxes indicate things done…
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Following [this discussion](https://github.com/blackjax-devs/blackjax/discussions/496), I would like to suggest implementing discontinuous Haniltonina Monte Carlo methods in Blackjax.
### Presentat…
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It appears that most of the code needed to perform a fit on source weights, spectral index and number of source weights is already included in the `flarestack.core.minimisation.FitWeightMinimisationHa…
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# Hamiltonian Mechanics | Jake's Blog
In this post, I discuss the physics behind Hamiltonian Monte Carlo (HMC), Hamiltonian Mechanics.
[https://jakee417.github.io/posts/hamiltonian-mechanics/](https…
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In figaro 1.4.0 and later the `likelihood.py` file no longer exists and the log_norm function is in `_likelihood.py` instead.
https://github.com/sterinaldi/FIGARO/blob/main/figaro/_likelihood.py#L41
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Ideally implement these two different papers
- https://arxiv.org/abs/1709.00404
- https://arxiv.org/abs/2104.05134
They both build on this https://rss.onlinelibrary.wiley.com/doi/full/10.1111/r…
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Nishimura et all (2020) propose an HMC integrator that should work well discontinous likelihoods and hence also for discrete parameters. I was wondering if this could be added to AdvancedHMC as it h…
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**Describe the bug**
The several results in the tutorial are not correctly drawn because of KeyboardInterrupt.
I found there are two KeyboardInterrupt at
- The creating Hamiltonian at [Monte Carlo…
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Hello there!
I noticed that TFP still lacks an implementation of SGHMC [1]. I would like to use it in some of my projects, and since I am already relying heavily on the TFP ecosystem, it would be v…
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**What is the main topic of this tutorial**: Explain what are MCMC, Metropolis-Hastings, Hamiltonian Monte Carlo, and how to use them in practice.
**One line description**
This tutorial would help…