Not sure I understand your use case of “observed parameters ”. The code is fine but it will be the same as if you are doing:
Thank you for the reply. So in the above case, the Normal distribution isn’t being used at all? I want to setup a linear model:
z = \alpha + Y \cdot \beta^T where Y is, for example, 2 Normal distributions (containing different length observations).
I.e. [\mathcal{N}_0, \mathcal{N}_1] \cdot [\beta_0, \beta_1]^T.