Dear ,

I’ve been trying implement learning model in PyMC3.

I have a following problem.

I have a prior distribution of three inputs:

x=pm.Normal (‘x’,mu = 0.06, sd = 0.1)

y=pm.Normal (‘y’, mu = 1, sd = 0.05)

z = pm.Normal (‘z’,mu=50,sd = 5)

and I have a surrogate model of three inputs is f(x,y,z) and the observed f(x,y,z)

f(x,y,z) = 3

x^2+6xy+5y^2+2yz+5*z^2+21

how to apply Bayesian inference to find the posterior of multivariable?

thanks you