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I thank reviewer 3 for raising this issue (rephrased by AHL):
The normalised curvature matrix [used to find the optimal value of alpha] is constructed numerically from chi2 using a forward Euler me…
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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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@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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Currently, the functions in `diagnostics.py` exhibit a lot of code duplication; most of it can be delegated to one or two helper functions which are then utilized by the diagnostics functions.
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Hello,
Currently we are use michaelis-menten or the sigmoid curves to optimize the budget allocation.
Is there a way to use the model parameters to predict on unseen data.
In simpler terms, I hav…
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SMC works by traversing a path of distributions, starting with an initial distribution, and progressively getting closer to a target distribution. There are many ways to construct such path.` tempered…
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## 🚀 Feature
Need jit script module to support `torch.distributions.Categorical`.
## Motivation
Our generative model need a sample layer during inference. Currently we are missing sampling supp…
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## Issue description
Provide a short description.
I wonder if we could implement a custom model instead of GP class model.
Specifically, suppose we build a random forest model, and it also hav…
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@henryrscharf @cboettig
Likelihood / posterior distributions from a single trajectory vs from the ensemble