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Hi,
I have few exogenous variables in my dataset which are to be controlled for . Can the same be handled using bvar() as I haven't came across any arguments in the documents.
Regards
Arnab
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Currently, nodes that are wrapped in `determinstic` are not traced, and obtaining inferences from these nodes must be run through a `Predictive` object. When a user deliberately creates these determin…
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I am wondering if its possible to generate a variogram using haversine/great-circle as the distance metric? This doesn't seem to be supported by scipy.spatial.distance.pdist but would be helpful for w…
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Thank you for your excellent code! I have encountered some problem when I use the mutual information constraint in a speech processing task. In the process of the training, I found that the logvar pre…
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Dear Team,
I am calculating Partition heritability , but I am getting error of "parsing annotation error". Can you please help me with this? Here is my command:
GWAS trait: PASS.Bipolar_Disorder_AL…
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e-mailed in by Andrew Weiss:
```
zm
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Is there a way to not return (and not compute!) the variance when using predict_noiseless() ? I don't need that information for the moment and I want to save as much computational time as possible
…
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To this point we have used the standard compressed sparse column matrices to represent `Zt`, the transpose of the model matrix for the random effects terms and to represent `Lambda`, the lower Choles…
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Hi,
I have an existing bayesian bandit system that I might like to discover new points to test through MOE.
For a beta distrubution, is there some way to feed it in directly using value_var to prov…
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original title: "Exception of RegressionResult.summary() when performing OLS with complex-valued data"
import numpy as np
import statsmodels.formula.api as sm
x = np.linspace(0,…