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**Describe the issue**:
While trying to dask-ify a somewhat complex memory-intensive numpy+scipy calculation which in theory is easily parallelizable into chunks (since it is basically rastering over…
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(continuation of #7720 roadmap for 0.14)
- gmm for combining models, equations
- #8216
- look at polynomial expansion for distributions again #8326
no specific tasks, just to pick it up …
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### Describe the issue:
LKJCorr backwards sampling is currently broken and does not properly constrain values to a positive semidefinite matrix early enough. This leads to compilation randomly failin…
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Hi,
referring to the list in issue #8 ,
i implemented the classical Tyler's M-estimator (1987) and the shrinked version proposed by Zhang and Wiesel (2016), with both the Ledoit & Wolf-type of sh…
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Hi @dscolby
I work on implementing causal learning in eco-epidemiology, and I recently discovered CausalELM. I see important features in the package, such as the computation of G-computation and the…
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Hi, thanks for providing the fantastic package!
I've found some weird problems with unbalanced panel. As an illustrative example, I use the `job_displacement_data` datasets within the package:
`…
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Hi, I'm interested in using NPU processors / AI accelerators for pure maths problem, and I wonder if I can use this library in such scenarios? Are there plans to develop the API (add more functions th…
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What does the spectrum of an adjacency matrix tell us about a graph model? Or, specifically, an SBM or it's more general case, a random dot product graph model?
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(I am aware of issue #100 but I think it is about something else)
I think we need a better interface for `rand` on e.g. polynomial rings and other of our datastructures. The problem with the curren…
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