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 hierarchical-bayesian
Search options not deleted
user 3591
Hierarchical Bayesian models specify priors on parameters and hyperpriors on the parameters of the prior distributions
4
votes
What's the difference between "deep learning" and multilevel/hierarchical modeling?
While this question/answer has been out there for a bit, I hought it might be helpful to clarify a few points in the answer. First, the phrase raised as a major distinction between hierarchical method …
- 916
2
votes
0
answers
579
views
inverse logistic regression with binary covariates
I am currently using a hierarchical Bayesian framework to investigate a problem with both a single binary response variable and binary covariates, $P(Y=1 | X_i=1), i=1,\ldots,n$. Using R/JAGS I can ch …
- 916
1
vote
0
answers
106
views
SVM versus Bayesian regression example(s)?
I am trying to track down examples where some basic problems have been tackled via both classical Machine Learning algorithms and more formal statistical methods. In particular, I'm interested in exa …
- 916