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### Presentation of the new sampler
Nested sampling [[Skilling]](https://projecteuclid.org/journals/bayesian-analysis/volume-1/issue-4/Nested-sampling-for-general-Bayesian-computation/10.12…
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Note sure if this is a bug or if this feature needs further developement.
I tried to add a custom doc (Primevue 4) by providing [this link](https://primevue.org/setup/). But Cursor seems unable to …
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### Current behavior
The current HMC implementation performs n steps of discretized Hamiltonian dynamics and then an MH accept/reject.
### Desired behavior
It would be useful to also have …
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### Presentation of the new sampler
DiGS is an auxiliary variable MCMC method where the auxiliary variable $\tilde{x}$ is a noisy version of the original variable $x$. DiGS enhances mixing and helps …
jcopo updated
1 month ago
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Hi @marius311,
Great work on MUSE! I am wondering if you are interested in contributing MUSE to [BlackJAX](https://github.com/blackjax-devs/blackjax).
Some benefits:
- Easy discoverable for broad…
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Hi Dan,
I am wondering if you are interested in upstream this to [BlackJAX](https://github.com/blackjax-devs/blackjax).
Some benefits:
- Easy discoverable for broader Bayesian Computation communi…
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Add Stan PPL integration to use Stan models with Blackjax inference algorithms
With the [BridgeStan](https://roualdes.github.io/bridgestan/latest/) library, we can efficiently access log density an…
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Hi there,
I was experimentng with jax sampling and instead of running successive calls to sample_smc_blackjax (which I thought would be useful to compare the posteriors and enable rhat-like diagno…
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To change `bayeux` based sampler parameter values, we require passing `kwargs` like
```python3
kwargs = {
"adapt.run": {"num_steps": 500},
"num_chains": 4,
"num_draws": …
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Congratulations on the paper!
Would you be interested to contribute GSM-VI to Blackjax?