Suppose that in a Bayesian network containing an unobserved variable Y, all the variables in the Markov

Question:

Suppose that in a Bayesian network containing an unobserved variable Y, all the variables in the Markov blanket MB(Y) have been observed.

a. Prove that removing the node Y from the network will not affect the posterior distribution for any other unobserved variable in the network.

b. Discuss whether we can remove Y if we are planning to use (i) rejection sampling and (ii) likelihood weighting.

Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...

Fantastic news! We've Found the answer you've been seeking!