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A dag defines a forward flow of information. At the same time it _implies_ a back-flow of information when we reverse each edge on the DAG and associate a back-flow node function with each node. Addit…
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In a chi^2 statistic, the goodness of fit can be derived analytically from the chi^2 value and the number of DOF. That's not true for many of our other statistics (cash, WSTAT, etc.). However, in prin…
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This is intended as a discussion issue where we can hash out an initial design for the package. The goal is to
1. tie down the structure of the package, including how the internals should be design…
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Dear GPBoost team,
I'm working with large datasets and thus need gp_appox to speed up. However, I can't set grouped random effects at the same time.
This is really important for working with rea…
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I appreciate the clarification and additional context. Your work sounds fascinating and ambitious, bridging several deep areas of mathematics and physics. Let's unpack this a bit:
1. Uniform Converg…
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I'm delighted to see Goldilocks moving towards automated telluric corrections! 🎆 This is awesome! Here are a few thoughts:
### Minor comments
- `LDLS` -- what does the acronym stand for?
>t…
gully updated
2 years ago
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reference (not read yet)
Vogelsang, Timothy J. 2012. “Heteroskedasticity, Autocorrelation, and Spatial Correlation Robust Inference in Linear Panel Models with Fixed-effects.” Journal of Econometrics…
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As part of [this paper](https://arxiv.org/abs/2002.01935) I have made a python package - [`cotengra`](https://github.com/jcmgray/cotengra) - that is specifically aimed at contracting large complex ten…
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This issue is more to keep track of things than to ask for help
https://scikit-learn.org/stable/modules/classes.html
# Supervised models
### Dummy models
? | Name | Ha…
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Should a dedicated API/column metadata to efficiently support sparse columns be part of the spec?
## Context
It can be the case than a given column has more more than 99% of its values that are …