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) = 3x^2+6xy+5y^2+2yz+5*z^2+21
how to apply Bayesian inference to find the posterior of multivariable?