Newbie here:
I’d like to do the following in Theano:
take a vector of inputs x of length N, and evaluate a sum of M scaled Gaussians at each value
If each Gaussian is parameterised by an M-vector of locations/mu’s and an M-vector of scales ( all gaussians having same sigma) how can I evaluate a y_est vector like:
y_est = pm.Normal(mu=T.dot(scales, <
gaussian evaluated at each y>)