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Hello,
My understanding is that multimodal distributions are a common use case for parallel tempering. I'm assuming that this is true for this particular algorithm in Pigeons.jl. If so, it might be…
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This requires functionality to draw samples of data vectors from the likelihood and passing them back to the sampling framework.
The ability to draw samples from the likelihood is useful in other c…
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Hi Ax Team,
I am trying to implement a Service API version of the safe optimization idea floated by @Balandat [here](https://github.com/pytorch/botorch/discussions/2240#discussioncomment-8701003);…
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Posterior distributions of the key NBBg parameters in a supplemental figure?
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@macartan
I just noticed that we export the transpose of posterior / prior distributions over causal types from `get_type_prob_multiple` (i.e. causal types ares rows and draws are columns) while t…
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## Expected Behavior
- Would be nice to have both posterior and prior sampling options from a `BaseRV` object
- Is it even useful to have "uniform" vs "normal" etc variables if they just change afte…
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This is a re-post of an [issue in ert-examples](https://github.com/equinor/ert-internal-examples/issues/116), because testing properties of the update should be done in ERT or IES repositories. When i…
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While implementing BNN using tensorflow, i'm getting the below error while using DenseVariational and not sure how to resolve it
I have also tried using Google collab/ Jupyter notebook/ VS code/ Kagg…
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The [No-U-Turn ](https://arxiv.org/pdf/1111.4246v1.pdf) Hamiltonian Monte Carlo (HMC) method provide a robust method to capture a posterior distributions with efficient sampling and adaptive step size…