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 63602
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
1
answer
759
views
Evaluate high-dimensional Gaussian with variance matrix $\sigma^{2}I_{n_{t}\times n_{t}}+\bo...
I need to compute the log-likelihood function in a high-dimensional
Gaussian time-series. I have the following model:
$\mathbf{y}_{t}\left|\mathcal{F}_{t-1}\sim\mathcal{N}\left(\mathbf{\boldsymbol{\m …
- 303
4
votes
2
answers
367
views
Inference on $P\left(\left.\sum_{i=1}^{N}X_{i}\ \right|\ \sum_{i=1}^{N}X_{i}^{2}\right)$ whe...
Let:
$$X_{i}\overset{i.i.d}{\sim}\mathcal{N}\left(0,1\right)$$
Hence:
$$\sum_{i=1}^{N}X_{i}\sim\mathcal{N}\left(0,N\right)$$
and
$$\sum_{i=1}^{N}X_{i}^{2}\sim\chi^{2}\left(N\right)$$
What can b …
- 303