Journal article
Bayesian network structure learning with permutation tests
- Abstract:
-
In literature there are several studies on the performance of Bayesian network structure learning algorithms. The focus of these studies is almost always the heuristics the learning algorithms are based on, i.e., the maximization algorithms (in score-based algorithms) or the techniques for learning the dependencies of each variable (in constraint-based algorithms). In this article, we investigate how the use of permutation tests instead of parametric ones affects the performance of Bayesian n...
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Bibliographic Details
- Journal:
- Communications in Statistics - Theory and Methods
- Volume:
- 41
- Issue:
- 16-17
- Pages:
- 3233-3243
- Publication date:
- 2012-01-01
- DOI:
- EISSN:
-
1532-415X
- ISSN:
-
0361-0926
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:487747
- UUID:
-
uuid:6f4f82b2-fc9e-48aa-a3ed-f4ae3c703900
- Local pid:
- pubs:487747
- Source identifiers:
-
487747
- Deposit date:
- 2014-11-11
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- Copyright date:
- 2012
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