Hello,
I used GeNIe academic version, these are details:
Version 2.2.2007.0 (32-bit Academic)
Built on 2017-08-08 (1d30fba15537100)
I am a new user for both Bayesian network and GeNIe, so I confuse about the terms: marginal probability distribution, posterior probability, and posterior marginal probability distribution. Is it the same meaning? I understand that posterior probability is conditional probability when we provide an evidence/observation. I get stuck with my thesis when I try to describe the result of probability in value tab and I am not sure what term should I use.
Another thing is the marginal probability that provides in value tab, is the same calculate with posterior probability? For example, if I have P(A|B) for posterior probability, the result of marginal probability that provides in value tab is summarizing of P(A) or P(A|B). If it different how do I get posterior probability when I provide an evidence?
Please help me to clarify my confusion and anything that I might misunderstand.
Thank you,
Wantida
Marginal probability and posterior probability
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Re: Marginal probability and posterior probability
Hi Wantida,
To make things, simple, the distributions in the Value tab are always marginal. Sometimes they are prior and sometimes they are posterior. The term posterior (or its synonym, a Latin term "a-posteriori") relates to the fact that it has been calculated based on some observations/evidence. In practice, you usually observe something and the Bayesian network calculates the new/updated marginals. They are posterior marginals or P(A|B) using your example. I hope this helps.
Marek
To make things, simple, the distributions in the Value tab are always marginal. Sometimes they are prior and sometimes they are posterior. The term posterior (or its synonym, a Latin term "a-posteriori") relates to the fact that it has been calculated based on some observations/evidence. In practice, you usually observe something and the Bayesian network calculates the new/updated marginals. They are posterior marginals or P(A|B) using your example. I hope this helps.
Marek