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## Current variance behaviour
Currently, definitions of interface implementations (i.e. `owns` and `plays` statements) are **covariant** in the implementing type (the owner or roleplayer), and **in…
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**Description of the issue**
This is meant to discuss how to properly compute the covariance matrix:
- is it correct to take into account the sky coverage correction, i.e. f_{sky}=12.25/5000 to …
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To help with parameter identification and estimation due to the high number of potential parameters, should we include estimated or fixed penalties on the covariance parameters?
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merged in #7059
requested in #7005
I was trying to see how difficult it would be to replicate multivariate model with unstructered within covariance. (for #8722)
`Unstructured` is already impleme…
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**Summary**
'mmrm' already supports 'spatial' covariance structures. These are essentially covariance functions and allow fitting Gaussian process models.
GP models are particularly useful whe…
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Sometimes, KDE tends to oversmooth the PDF, which introduces bias in the estimated PDF. Inverse-transform sampling doesn't have this issue, but it is usually implemented in 1D. This package extends it…
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## Feature
@lucacarlone and I need to document what the Integration Covariance is and its role in the `ImuFactor`.
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Hi there,
I am currently using multiple OAK-d cameras on a mobile robot for pedestrian detection. I have used the Spatial Tiny-yolo example as a template and then publish detections on a ros topic …
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Are there any plans to support covariance and correlation functions in PromQL?
It could be useful for post-mortem analysis to find correlations that could explain the impact or possible root causes…
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When I am calling `kalmangrad.grad` as below:
```
smoother_states, filter_times = kalmangrad.grad(y, t=t / HERTZ, delta_t=1 / HERTZ)
```
I noticed that the value of `HERTZ` above makes a huge …