Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with conditional-probability
Search options not deleted
user 277768
The probability that an event A will occur, when another event B is known to occur or to have occurred. It is commonly denoted by P(A|B).
2
votes
1
answer
243
views
Conditional distributions derivation
I am trying to solve the following problem:
Given $n$ independent observations $Y_i$ from a Normal$(\theta, \tau^{-1})$ distribution with unknown mean $\theta$ and unknown precision $\tau$, i.e
$$ …
- 23