Timeline for Application of Bayesian Networks to tabular data
Current License: CC BY-SA 4.0
18 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 17, 2022 at 20:39 | vote | accept | Olive Yew | ||
| S May 17, 2022 at 20:39 | history | bounty ended | Olive Yew | ||
| S May 17, 2022 at 20:39 | history | notice removed | Olive Yew | ||
| May 16, 2022 at 16:15 | answer | added | Jacques Wainer | timeline score: 1 | |
| May 11, 2022 at 18:06 | comment | added | J. Delaney | 0.67 is the observed marginal probability of $T=1$. You don't need to condition on anything. | |
| May 11, 2022 at 17:40 | comment | added | Olive Yew | Sorry what is meant is, what would i need to condition upon for the probability of T=1 in this network to be 0.67? | |
| May 11, 2022 at 17:37 | comment | added | J. Delaney | $P(T=1)$ is not a conditional probability so I fail to understand how is it related to any of your calculations | |
| May 11, 2022 at 17:26 | comment | added | Olive Yew | These are some dummy data that do not represent anything. The reason why i expect P(T = 1) to equal the observed frequency, is that all events that T (and hence T=1) depends upon are occurring. This the main query that i have with this post. Also, what would the conditional probability need to look like for P(T = 1) ~ 0.67? | |
| May 11, 2022 at 16:54 | comment | added | J. Delaney | $P(T=1|A,HR,E,S,C,BP)$ is a function of $A,HR,E,S,C,BP$. What is the number you are calculating supposed to represent and why do you expect it to be equal to the observed frequency of $T=1$ ? | |
| May 11, 2022 at 15:29 | history | edited | Olive Yew | CC BY-SA 4.0 |
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| S May 11, 2022 at 11:45 | history | bounty started | Olive Yew | ||
| S May 11, 2022 at 11:45 | history | notice added | Olive Yew | Authoritative reference needed | |
| May 11, 2022 at 11:28 | history | edited | Olive Yew | CC BY-SA 4.0 |
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| May 11, 2022 at 11:14 | history | edited | Olive Yew | CC BY-SA 4.0 |
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| May 6, 2022 at 20:55 | history | edited | Olive Yew |
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| May 6, 2022 at 10:56 | history | edited | Olive Yew | CC BY-SA 4.0 |
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| S May 6, 2022 at 9:51 | review | First questions | |||
| May 6, 2022 at 10:48 | |||||
| S May 6, 2022 at 9:51 | history | asked | Olive Yew | CC BY-SA 4.0 |