Timeline for Why are undirected graphical models called Markov networks?
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Jul 23, 2014 at 2:10 | comment | added | Jeff | In a Bayes Net of A->B, there is a parameter $\psi(A)$ which happens to be equal to $p(A)$, which is the prior. In a Markov Network of A-B-C, there are parameters on the cliques $\psi(A, B), \psi(B,C)$. Neither of these are P(A). You can also add a parameters $\psi(A), \psi(B), \psi(C)$, but they are not generally $P(A)$, etc. | |
| Jul 23, 2014 at 0:11 | comment | added | Daniel | Why do you say "In a Markov Network, you don't (/ can't?) parameterize the model with the prior."? | |
| Jul 22, 2014 at 23:41 | review | Late answers | |||
| Jul 22, 2014 at 23:47 | |||||
| Jul 22, 2014 at 23:23 | history | answered | Jeff | CC BY-SA 3.0 |