Declare priors using loop results in bracket nesting level exceeded maximum

Thanks again for your great help.

For the sake of completeness, here is the working code.
As scan saves all sequences, new_res is not needed

def step(last_y0, A, mu):
    new_y0 = A @ (last_y0 * pt.exp(mu) / 2)
    return new_y0

y0_vec = pm.math.concatenate([[y0_R], pt.zeros(dim - 1)], axis=0) 
y0_sequence, updates = pytensor.scan(step,
                                     outputs_info=y0_vec,
                                     non_sequences=[A, mu],
                                     n_steps=N_GEN)
# We only care about the merged vector
y0 = y0_sequence.sum(axis=0) + y0_vec
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