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 bayesian
Search options not deleted
user 241130
Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
0
votes
0
answers
33
views
not understanding parameters of a prior for bayesian linear regression
I am trying to understand the parameters of a prior for doing bayesian linear regression.
$$
\beta|\sigma^2 \sim \mathcal{N}(0, 10^2\sigma^2I) \\
\sigma^2 \sim Inv-\chi^2(1, 5^2)
$$
Let's say I have …
- 809