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![image](https://user-images.githubusercontent.com/17681226/92356173-3b065000-f118-11ea-8953-e4595f1de7b6.png)
This slide implies that code written for `Shape[]` will work for when it's substituted…
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R inline package might be a good place to start
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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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**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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**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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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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### Describe the workflow you want to enable
Currently, Scikit-learn's LinearDiscriminantAnalysis (LDA) classifier does not support incremental learning through the partial_fit method. This poses c…
wcscr updated
1 month ago
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The results for the coefficients b and the uncertainties of b of [Example 3](https://github.com/wollmich/metas-b-least/blob/main/metas_b_least/Example_B_LEAST_3.ipynb) for the exponential function are…
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Hello, apologies if there's something I overlooked, but I am trying to figure out the easiest way to compute the voxel covariance matrix for an ROI based on the residuals from the GLM (useful for e.g.…
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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 …