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 normal-distribution
Search options not deleted
user 202720
The normal, or Gaussian, distribution has a density function that is a symmetrical bell-shaped curve. It is one of the most important distributions in statistics. Use the [normality-assumption] tag for asking about testing for normality.
1
vote
Accepted
notation conditional normal distribution
OK, after discussing this with some other students, I actually found this is common notation. So I just added the description to my paper:
We use $N_{D}(\vec{x} \mid \vec{\mu}, \Sigma) = (2\pi)^{- …
- 111
0
votes
1
answer
784
views
notation conditional normal distribution [duplicate]
I'm describing parameter search using a particle filter, for which I use West M. (1993) Approximating Posterior Distributions by Mixture.
On page 8 of the document, he states "and $p(\theta)$ is (app …
- 111