Timeline for Closed form of conditional probability for a specific joint
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 31, 2015 at 15:35 | vote | accept | maksay | ||
| Jul 31, 2015 at 15:22 | answer | added | ziggystar | timeline score: 6 | |
| Jul 31, 2015 at 15:14 | comment | added | maksay | I understand that. However, when I marginalize over $x_{i+2},\cdots $, I can't seem to get rid of an expression that grows exponentially with the size of $n-i$. I guess what I was really trying to ask is if there is a form of $P(x_i|x_{i-1})$ that does not involve later terms. (I.e. $P(x_i|X_{i-1})=\psi(x_{i-1},x_i)\phi(x_i)$. Which would get what I need, but, unfortunately, is not a valid distribution) | |
| Jul 31, 2015 at 15:03 | comment | added | ziggystar | You have to marginalize over $x_{i+2},\ldots,x_n$, and you can drop the factors involving $x_1,\ldots,x_{i-1}$ because of conditional independence. | |
| Jul 31, 2015 at 15:02 | history | edited | maksay | CC BY-SA 3.0 |
added 103 characters in body
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| Jul 31, 2015 at 14:54 | history | asked | maksay | CC BY-SA 3.0 |