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```
There is no option for Covariance between two matrices . I am referring to
pairwise complete observations between columns .
In the Tools package, we do have covariance for vectors and internal c…
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First of all thanks for the great reference, you've been created and it performs well in its current format.
But, Is it acceptable to use covariance matrices instead of scatter matrices in LDA?
sh…
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Add option to estimate within and between firm variance for AKM and its bias corrections.
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_Original ticket http://projects.scipy.org/numpy/ticket/1223 on 2009-09-15 by trac user zero79, assigned to unknown._
numpy.random.multivariate_normal will happily accept non-physical covariance matr…
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I'm trying to use a slightly modified version of sketchrnn.
The code of the decoder module is:
```
# get the coefficient for the GMM.
[
z_pi,
z_mu1,
…
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Hi David,
I tried implementing SASS on my tdcs/EEG dataset this week and I had some questions on correct usage. Following your paper_(Stimulation artifact source separation (SASS) for assessing ele…
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**context**
In order to achieve full compatibility with JAX we need to make sure that all ensemble gradient estimators actually work with nested parameter containers.
**ideas**
The main problem l…
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[From documentation]
observation_covariance : [n_dim_obs, n_dim_obs] array-like
Also known as R. observation covariance matrix for times [0...n_timesteps-1]
I'd like to use time-dependent observation…
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I was thinking it might be a good idea to enrich the positive-definite matrix generation part, by adding correlation matrix generation.
**Interest of covariance matrices**: Covariance and correlati…
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It seems that both likelihoods in 5_COSMOLOGY/cosmosis_likelihoods use the same covariance matrix (Pantheon+SH0ES_STAT+SYS.cov). I believe that this covariance is the sum of SNIa and Cepheid data cova…