In my model, I aim to set [c,m]~multiGaussian with mu=[2.3,-14.9]; Cov=[[0.0179,-0.0432517],[-0.0432517,0.108137]]. Then, infer c, m from posterior distribution. But I don’t know how to assign two-dimensional Gaussian distribution to [c,m]. I tried the following code, import numpy as np import py…

c and m are tensors of shape (1,1). tt.squeeze squeezes the shape of the tensors to (1,). So, we have to index c[0] and m[0] to get the data and avoid shape issues.

Using pm.MvNormal for setting prior distribution

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teng_wang April 8, 2020, 10:22pm 5

Yes, It works. Thanks a lot.

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Using pm.MvNormal for setting prior distribution

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