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## Proposal
HoloPy version 4 should rely on [`pymc`](https://www.pymc.io/welcome.html) for inference.
## Rationale
When we first included Bayesian inference in HoloPy, the options for efficient …
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Hi! thanks for building this!
For SILAC quantitation, is the posterior protein intensity calculated for the heavy and liight independently and then the ratio between them is the fold change?
One…
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There are many types of models: physics based models, ODEs, machine learning models, deep learning, etc.
Can we analyze the model imports and how they are used to determine the type of model?
Fo…
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**Organizational Page**: [MetaProv&Uncrn](https://github.com/NCEAS/open-science-codefest/wiki/MetaProv&Uncrn)
**Category**: Data science
**Title:** Metadata, provenance, and characterizing uncertaint…
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Hi,
What would be a best way to compute error bars / confidence intervals around the shap values (with focus on main effect values). It might not be possible to estimate it directly, but was wonder…
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Hi @mkomod! Great work with this package!
I was trying to understand what exactly is the posterior distribution that the `beta_hat` values follow? There is an equation below Eg. (6) in the paper th…
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### Metadata
- Authors: Yarin Gal & Zoubin Ghahramani
- Organization: University of Cambridge
- Conference: ICML 2016
- Paper: https://arxiv.org/pdf/1506.02142.pdf
- Appendix: https://arxiv.org/p…
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I am interested in discussing and working on ways to quantify and attribute sources of uncertainty in forecasts and ways to communicate these components. There are a wide variety of both model-agnost…
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Hello. I am trying to use ChaosPy for uncertainty quantification of a 5 dimensional problem using PCE. The input variables are set to be LogNormal. For one of the variables mean is about 500 and SD is…
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I recently developed a 5DOF GB interpolation framework (DOI: [10.1016/j.commatsci.2021.110756](https://doi.org/10.1016/j.commatsci.2021.110756)) based on grain boundary octonion distances (DOI: [10.10…