I’m really greatful that you’re willing to asnwer my questions. Thank you.
My model structure is like this: Screenshot by Lightshot
I take the data, apply transformation and then calculate contributions of the delay_vars.
Therefore my question was how could i specify different parameters for each element of delay_vars dim.
Here I’m illustrating it on the alpha parameter. The prior distributions are the same for all elements in delay_vars. However, i want parameter of the distribution to differ for each element of delay_vars (as shown in previous example). Is my previous example correct way to achieve this or do i have to do that in different way?