Posterior Predictive Variance

Problem

Compute the posterior predictive variance as post_var + obs_var, combining parameter uncertainty with observation noise.

Return the sum.

Hint

Predictive uncertainty is never smaller than observation noise alone.

case 1

in: [1,2]

expected: 3

case 2

in: [0.5,0.5]

expected: 1

case 3

in: [0,4]

expected: 4

case 4

in: [3,0]

expected: 3

Starter codePython

def posterior_predictive_variance(post_var, obs_var):
    # Your code here
    pass

4 test cases · run your code against them in the editor